-
1
-
-
51749102916
-
Eigenfeatures as intermediate-level representations: The case for PCA models
-
doi:10.1017/S0140525X98220103
-
Abdi, H., Valentin, D., & Edelman, B. G. (1998). Eigenfeatures as intermediate-level representations: The case for PCA models. Brain and Behavioral Sciences, 21, 17-18. doi:10.1017/S0140525X98220103
-
(1998)
Brain and Behavioral Sciences
, vol.21
, pp. 17-18
-
-
Abdi, H.1
Valentin, D.2
Edelman, B.G.3
-
2
-
-
0000887704
-
Arguments concerning representations for mental imagery
-
doi:10.1037/0033-295X .85.4.249
-
Anderson, J. R. (1978). Arguments concerning representations for mental imagery. Psychological Review, 85, 249-277. doi:10.1037/0033-295X .85.4.249
-
(1978)
Psychological Review
, vol.85
, pp. 249-277
-
-
Anderson, J.R.1
-
3
-
-
0004203872
-
The adaptive character of thought
-
Hillsdale, NJ: Erlbaum
-
Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Erlbaum.
-
(1990)
-
-
Anderson, J.R.1
-
4
-
-
0000705894
-
The adaptive nature of human categorization
-
doi:10.1037/0033-295X.98.3.409
-
Anderson, J. R. (1991). The adaptive nature of human categorization. Psychological Review, 98, 409-429. doi:10.1037/0033-295X.98.3.409
-
(1991)
Psychological Review
, vol.98
, pp. 409-429
-
-
Anderson, J.R.1
-
5
-
-
84858761439
-
Analyzing human feature learning as nonparametric Bayesian inference
-
In D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, & A. Curlotta (Eds., Cambridge, MA: MIT Press
-
Austerweil, J. L., & Griffiths, T. L. (2009). Analyzing human feature learning as nonparametric Bayesian inference. In D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, & A. Curlotta (Eds.), Advances in neural information processing systems 21 (pp. 97-104). Cambridge, MA: MIT Press.
-
(2009)
Advances in neural information processing systems
, vol.21
, pp. 97-104
-
-
Austerweil, J.L.1
Griffiths, T.L.2
-
6
-
-
85161968126
-
Learning invariant features using the transformed Indian buffet process
-
In J. Lafferty, C. Williams, J. Shawne-Taylor, R. Zemel, & A. Culotta (Eds., Advances in neural information processing systems 23, Cambridge, MA: MIT Press
-
Austerweil, J. L., & Griffiths, T. L. (2010). Learning invariant features using the transformed Indian buffet process. In J. Lafferty, C. Williams, J. Shawne-Taylor, R. Zemel, & A. Culotta (Eds.), Advances in neural information processing systems 23 (pp. 82-90). Cambridge, MA: MIT Press.
-
(2010)
, pp. 82-90
-
-
Austerweil, J.L.1
Griffiths, T.L.2
-
7
-
-
80052852204
-
A rational model of the effects of distributional information on feature learning
-
doi:10.1016/j.cogpsych.2011.08.002
-
Austerweil, J. L., & Griffiths, T. L. (2011). A rational model of the effects of distributional information on feature learning. Cognitive Psychology, 63, 173-209. doi:10.1016/j.cogpsych.2011.08.002
-
(2011)
Cognitive Psychology
, vol.63
, pp. 173-209
-
-
Austerweil, J.L.1
Griffiths, T.L.2
-
8
-
-
85047670813
-
Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories
-
doi:10.1037/0278-7393.11.1-4.629
-
Barsalou, L. W. (1985). Ideals, central tendency, and frequency of instantiation as determinants of graded structure in categories. Journal of Experimental Psychology: Learning, Memory, and Cognition, 11, 629-654. doi:10.1037/0278-7393.11.1-4.629
-
(1985)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.11
, pp. 629-654
-
-
Barsalou, L.W.1
-
9
-
-
84981748011
-
Bayesian theory
-
New York, NY: Wiley, doi:10.1002/9780470316870
-
Bernardo, J. M., & Smith, A. F. M. (1994). Bayesian theory. New York, NY: Wiley. doi:10.1002/9780470316870
-
(1994)
-
-
Bernardo, J.M.1
Smith, A.F.M.2
-
10
-
-
0023322501
-
Recognition-by-components: A theory of human image understanding
-
doi:10.1037/0033-295X.94.2.115
-
Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, 94, 115-147. doi:10.1037/0033-295X.94.2.115
-
(1987)
Psychological Review
, vol.94
, pp. 115-147
-
-
Biederman, I.1
-
11
-
-
0026196999
-
Priming contour-deleted images: Evidence for intermediate representations in visual object recognition
-
doi:10.1016/0010-0285(91)90014-F
-
Biederman, I., & Cooper, E. E. (1991). Priming contour-deleted images: Evidence for intermediate representations in visual object recognition. Cognitive Psychology, 23, 393-419. doi:10.1016/0010-0285(91)90014-F
-
(1991)
Cognitive Psychology
, vol.23
, pp. 393-419
-
-
Biederman, I.1
Cooper, E.E.2
-
12
-
-
0024947440
-
Parts of visual objects: An experimental test of the minima rule
-
doi:10.1068/p180817
-
Braunstein, M. L., Hoffman, D. D., & Saidpour, A. (1989). Parts of visual objects: An experimental test of the minima rule. Perception, 18, 817-826. doi:10.1068/p180817
-
(1989)
Perception
, vol.18
, pp. 817-826
-
-
Braunstein, M.L.1
Hoffman, D.D.2
Saidpour, A.3
-
13
-
-
0004016553
-
A review of dimension reduction techniques (Tech. Rep. CS-96-09)
-
Sheffield, England: Department of Computer Science, University of Sheffield
-
Carreira-Perpiñán, M. Á. (1997). A review of dimension reduction techniques (Tech. Rep. CS-96-09). Sheffield, England: Department of Computer Science, University of Sheffield.
-
(1997)
-
-
Carreira-Perpiñán, M.Á.1
-
14
-
-
0037219380
-
Simplicity: A unifying principle in cognitive science
-
doi:10.1016/ S1364-6613(02)00005-0
-
Chater, N., & Vitányi, P. (2003). Simplicity: A unifying principle in cognitive science. Trends in Cognitive Sciences, 7, 19-22. doi:10.1016/ S1364-6613(02)00005-0
-
(2003)
Trends in Cognitive Sciences
, vol.7
, pp. 19-22
-
-
Chater, N.1
Vitányi, P.2
-
15
-
-
0039630447
-
From covariation to causation: A causal power theory
-
doi:10.1037/0033-295X.104.2.367
-
Cheng, P. (1997). From covariation to causation: A causal power theory. Psychological Review, 104, 367-405. doi:10.1037/0033-295X.104.2.367
-
(1997)
Psychological Review
, vol.104
, pp. 367-405
-
-
Cheng, P.1
-
16
-
-
0001940973
-
Review of the book Verbal behavior
-
by B. F. Skinner, doi:10.2307/411334
-
Chomsky, N. (1959). [Review of the book Verbal behavior, by B. F. Skinner]. Language, 35, 26-58. doi:10.2307/411334
-
(1959)
Language
, vol.35
, pp. 26-58
-
-
Chomsky, N.1
-
17
-
-
0004227304
-
Meaning and mental representations
-
Cambridge, MA: MIT Press
-
Cummins, R. (1989). Meaning and mental representations. Cambridge, MA: MIT Press.
-
(1989)
-
-
Cummins, R.1
-
18
-
-
84922761306
-
Rational analyses, instrumentalism, and implementations
-
In N. Chater & M. Oaksford (Eds., Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199216093.003.0003
-
Danks, D. (2008). Rational analyses, instrumentalism, and implementations. In N. Chater & M. Oaksford (Eds.), The probabilistic mind: Prospects for Bayesian cognitive science (pp. 59-75). Oxford: Oxford University Press. doi:10.1093/acprof:oso/9780199216093.003.0003
-
(2008)
The probabilistic mind: Prospects for Bayesian cognitive science
, pp. 59-75
-
-
Danks, D.1
-
19
-
-
0004038335
-
Representation and recognition in vision
-
Cambridge, MA: MIT Press
-
Edelman, S. E. (1999). Representation and recognition in vision. Cambridge, MA: MIT Press.
-
(1999)
-
-
Edelman, S.E.1
-
20
-
-
77956683219
-
Learning as extraction of lowdimensional representations
-
In R. L. Goldstone, D. L. Medin, & P. G. Schyns (Eds.), Perceptual learning, San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60288-1
-
Edelman, S. E., & Intrator, N. (1997). Learning as extraction of lowdimensional representations. In R. L. Goldstone, D. L. Medin, & P. G. Schyns (Eds.), The Psychology of Learning and Motivation: Vol. 36. Perceptual learning (pp. 353-380). San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60288-1
-
(1997)
The Psychology of Learning and Motivation
, vol.36
, pp. 353-380
-
-
Edelman, S.E.1
Intrator, N.2
-
21
-
-
0000155950
-
The cascade-correlation learning architecture
-
In D. S. Touretzky (Ed.), Los Altos, CA: Morgan Kaufmann
-
Fahlman, S. E., & Lebiere, C. (1990). The cascade-correlation learning architecture. In D. S. Touretzky (Ed.), Advances in neural information processing systems 2 (pp. 524-532). Los Altos, CA: Morgan Kaufmann.
-
(1990)
Advances in neural information processing systems
, vol.2
, pp. 524-532
-
-
Fahlman, S.E.1
Lebiere, C.2
-
22
-
-
0035516285
-
Unsupervised statistical learning of higher-order spatial structures from visual scenes
-
doi:10.1111/1467-9280.00392
-
Fiser, J., & Aslin, R. N. (2001). Unsupervised statistical learning of higher-order spatial structures from visual scenes. Psychological Science, 12, 499-504. doi:10.1111/1467-9280.00392
-
(2001)
Psychological Science
, vol.12
, pp. 499-504
-
-
Fiser, J.1
Aslin, R.N.2
-
23
-
-
28744444446
-
Encoding multielement scenes: Statistical learning of visual feature hierarchies
-
doi:10.1037/0096-3445.134.4.521
-
Fiser, J., & Aslin, R. N. (2005). Encoding multielement scenes: Statistical learning of visual feature hierarchies. Journal of Experimental Psychology: General, 134, 521-537. doi:10.1037/0096-3445.134.4.521
-
(2005)
Journal of Experimental Psychology: General
, vol.134
, pp. 521-537
-
-
Fiser, J.1
Aslin, R.N.2
-
24
-
-
84858717210
-
Sharing features among dynamical systems with beta processes
-
In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), Cambridge, MA: MIT Press
-
Fox, E., Sudderth, E., Jordan, M. I., & Willsky, A. (2009). Sharing features among dynamical systems with beta processes. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), Advances in neural information processing systems 22 (pp. 549-557). Cambridge, MA: MIT Press.
-
(2009)
Advances in neural information processing systems
, vol.22
, pp. 549-557
-
-
Fox, E.1
Sudderth, E.2
Jordan, M.I.3
Willsky, A.4
-
25
-
-
0016102310
-
A projection pursuit algorithm for exploratory data analysis
-
doi:10.1109/T-C.1974.224051
-
Friedman, J. H., & Tukey, J. W. (1974). A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers, C-23, 881-890. doi:10.1109/T-C.1974.224051
-
(1974)
IEEE Transactions on Computers
, vol.C-23
, pp. 881-890
-
-
Friedman, J.H.1
Tukey, J.W.2
-
26
-
-
0004207340
-
The processing of information and structure
-
Potomac, MD: Erlbaum
-
Garner, W. R. (1974). The processing of information and structure. Potomac, MD: Erlbaum.
-
(1974)
-
-
Garner, W.R.1
-
27
-
-
3843120607
-
Ideal observer analysis
-
In L. M. Chalupa & J. S. Werner (Eds., Boston, MA: MIT Press
-
Geisler, W. S. (2003). Ideal observer analysis. In L. M. Chalupa & J. S. Werner (Eds.), The visual neurosciences (pp. 825-837). Boston, MA: MIT Press.
-
(2003)
The visual neurosciences
, pp. 825-837
-
-
Geisler, W.S.1
-
28
-
-
0001942829
-
Neural networks and the bias-variance dilemma
-
doi:10.1162/neco .1992.4.1.1
-
Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias-variance dilemma. Neural Computation, 4, 1-58. doi:10.1162/neco .1992.4.1.1
-
(1992)
Neural Computation
, vol.4
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
29
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
doi:10.1109/ TPAMI.1984.4767596
-
Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6, 721-741. doi:10.1109/ TPAMI.1984.4767596
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.PAMI-6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
30
-
-
84857235576
-
A tutorial on Bayesian nonparametric models
-
doi: 10.1016/j.jmp.2011.08.004
-
Gershman, S. J., & Blei, D. M. (2012). A tutorial on Bayesian nonparametric models. Journal of Mathematical Psychology, 56, 1-12. doi: 10.1016/j.jmp.2011.08.004
-
(2012)
Journal of Mathematical Psychology
, vol.56
, pp. 1-12
-
-
Gershman, S.J.1
Blei, D.M.2
-
31
-
-
85153949914
-
Factorial learning and the EM algorithm
-
In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Cambridge, MA: MIT Press
-
Ghahramani, Z. (1995). Factorial learning and the EM algorithm. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in neural information processing systems 7 (pp. 617-624). Cambridge, MA: MIT Press.
-
(1995)
Advances in neural information processing systems
, vol.7
, pp. 617-624
-
-
Ghahramani, Z.1
-
32
-
-
0004101426
-
Principles of perceptual learning and development
-
New York, NY: Appleton-Century-Crofts
-
Gibson, E. J. (1969). Principles of perceptual learning and development. New York, NY: Appleton-Century-Crofts.
-
(1969)
-
-
Gibson, E.J.1
-
33
-
-
0001011344
-
Evaluating an adaptive network model of human learning
-
doi:10.1016/0749-596X(88)90072-1
-
Gluck, M. A., & Bower, G. H. (1988). Evaluating an adaptive network model of human learning. Journal of Memory and Language, 27, 166-195. doi:10.1016/0749-596X(88)90072-1
-
(1988)
Journal of Memory and Language
, vol.27
, pp. 166-195
-
-
Gluck, M.A.1
Bower, G.H.2
-
34
-
-
0015451069
-
Similarity in visually perceived forms
-
Original work published 1936
-
Goldmeier, E. (1972). Similarity in visually perceived forms. Psychological Issues, 8(1). (Original work published 1936)
-
(1972)
Psychological Issues
, vol.8
, Issue.1
-
-
Goldmeier, E.1
-
36
-
-
4143067704
-
Learning to perceive while perceiving to learn
-
In R. Kimchi, M. Behrmann, & C. R. Olson (Eds., Mahwah, NJ: Erlbaum
-
Goldstone, R. L. (2003). Learning to perceive while perceiving to learn. In R. Kimchi, M. Behrmann, & C. R. Olson (Eds.), Perceptual organization in vision: Behavioral and neural perspectives (pp. 233-278). Mahwah, NJ: Erlbaum.
-
(2003)
Perceptual organization in vision: Behavioral and neural perspectives
, pp. 233-278
-
-
Goldstone, R.L.1
-
37
-
-
70350611491
-
Learning to see and conceive
-
In L. Tommasi, M. A. Peterson, & L. Nadel (Eds., Cambridge, MA: MIT Press
-
Goldstone, R. L., Gerganov, A., Landy, D., & Roberts, M. E. (2008). Learning to see and conceive. In L. Tommasi, M. A. Peterson, & L. Nadel (Eds.), Cognitive biology: Evolutionary and developmental perspectives on mind, brain, and behavior (pp. 163-188). Cambridge, MA: MIT Press.
-
(2008)
Cognitive biology: Evolutionary and developmental perspectives on mind, brain, and behavior
, pp. 163-188
-
-
Goldstone, R.L.1
Gerganov, A.2
Landy, D.3
Roberts, M.E.4
-
38
-
-
0035293493
-
The sensitization and differentiation of dimensions during category learning
-
doi:10.1037/0096-3445.130.1.116
-
Goldstone, R. L., & Steyvers, M. (2001). The sensitization and differentiation of dimensions during category learning. Journal of Experimental Psychology: General, 130, 116-139. doi:10.1037/0096-3445.130.1.116
-
(2001)
Journal of Experimental Psychology: General
, vol.130
, pp. 116-139
-
-
Goldstone, R.L.1
Steyvers, M.2
-
39
-
-
0003773596
-
Problems and projects
-
New York, NY: Bobbs-Merrill
-
Goodman, N. (1972). Problems and projects. New York, NY: Bobbs-Merrill.
-
(1972)
-
-
Goodman, N.1
-
40
-
-
0027580559
-
A novel approach to nonlinear/non-Gaussian Bayesian state estimation
-
Gordon, N. J., Salmond, D. J., & Smith, A. F. M. (1993). A novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEEE Proceedings on Radar and Signal Processing, 140, 107-113.
-
(1993)
IEEE Proceedings on Radar and Signal Processing
, vol.140
, pp. 107-113
-
-
Gordon, N.J.1
Salmond, D.J.2
Smith, A.F.M.3
-
41
-
-
84920940751
-
Bayesian models as tools for exploring inductive biases
-
In M. T. Banich & D. Caccamise (Eds., New York, NY: Psychology Press
-
Griffiths, T. L. (2010). Bayesian models as tools for exploring inductive biases. In M. T. Banich & D. Caccamise (Eds.), Generalization of knowledge: Multidisciplinary perspectives (pp. 135-156). New York, NY: Psychology Press.
-
(2010)
Generalization of knowledge: Multidisciplinary perspectives
, pp. 135-156
-
-
Griffiths, T.L.1
-
42
-
-
33645039209
-
Infinite latent feature models and the Indian buffet process (Tech. Rep. No. 2005-001)
-
London, England: Gatsby Computational Neuroscience Unit, University College London
-
Griffiths, T. L., & Ghahramani, Z. (2005). Infinite latent feature models and the Indian buffet process (Tech. Rep. No. 2005-001). London, England: Gatsby Computational Neuroscience Unit, University College London.
-
(2005)
-
-
Griffiths, T.L.1
Ghahramani, Z.2
-
44
-
-
54949110721
-
Bayesian models of cognition
-
In R. Sun (Ed., Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511816772.006
-
Griffiths, T. L., Kemp, C., & Tenenbaum, J. B. (2008). Bayesian models of cognition. In R. Sun (Ed.), The Cambridge handbook of computational psychology (pp. 59-100). Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511816772.006
-
(2008)
The Cambridge handbook of computational psychology
, pp. 59-100
-
-
Griffiths, T.L.1
Kemp, C.2
Tenenbaum, J.B.3
-
45
-
-
84922760529
-
Categorization as nonparametric Bayesian density estimation
-
In N. Chater & M. Oaksford (Eds., Oxford, England: Oxford University Press. doi:10.1093/acprof:oso/9780199216093.003.0014
-
Griffiths, T. L., Sanborn, A. N., Canini, K. R., & Navarro, D. J. (2008). Categorization as nonparametric Bayesian density estimation. In N. Chater & M. Oaksford (Eds.), The probabilistic mind: Prospects for Bayesian cognitive science (pp. 303-328). Oxford, England: Oxford University Press. doi:10.1093/acprof:oso/9780199216093.003.0014
-
(2008)
The probabilistic mind: Prospects for Bayesian cognitive science
, pp. 303-328
-
-
Griffiths, T.L.1
Sanborn, A.N.2
Canini, K.R.3
Navarro, D.J.4
-
46
-
-
84872776630
-
Nonparametric Bayesian models of category learning
-
In E. M. Pothos & A. J. Wills (Eds., Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511921322.008
-
Griffiths, T. L., Sanborn, A. N., Canini, K. R., Navarro, D. J., & Tenenbaum, J. B. (2011). Nonparametric Bayesian models of category learning. In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization (pp. 173-198). Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511921322.008
-
(2011)
Formal approaches in categorization
, pp. 173-198
-
-
Griffiths, T.L.1
Sanborn, A.N.2
Canini, K.R.3
Navarro, D.J.4
Tenenbaum, J.B.5
-
47
-
-
28144442965
-
Structure and strength in causal induction
-
doi:10.1016/j .cogpsych.2005.05.004
-
Griffiths, T. L., & Tenenbaum, J. B. (2005). Structure and strength in causal induction. Cognitive Psychology, 51, 334-384. doi:10.1016/j .cogpsych.2005.05.004
-
(2005)
Cognitive Psychology
, vol.51
, pp. 334-384
-
-
Griffiths, T.L.1
Tenenbaum, J.B.2
-
48
-
-
5244352553
-
Competitive learning: From interactive activation to adaptive resonance
-
doi:10.1111/j.1551-6708.1987.tb00862.x
-
Grossberg, S. (1987). Competitive learning: From interactive activation to adaptive resonance. Cognitive Science, 11, 23-63. doi:10.1111/j.1551-6708.1987.tb00862.x
-
(1987)
Cognitive Science
, vol.11
, pp. 23-63
-
-
Grossberg, S.1
-
49
-
-
73849090957
-
Towards cognitive component analysis
-
In T. Honkela, V. Könönen, M. Pöllä, & O. Simula (Eds., Proceedings of AKKR'05, International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Helsinki, Finland: Laboratory of Computer and Information Science, Helsinki University of Technology
-
Hansen, L. K., Ahrendt, P., & Larsen, J. (2005). Towards cognitive component analysis. In T. Honkela, V. Könönen, M. Pöllä, & O. Simula (Eds.), Proceedings of AKKR'05, International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (pp. 148-153). Helsinki, Finland: Laboratory of Computer and Information Science, Helsinki University of Technology.
-
(2005)
, pp. 148-153
-
-
Hansen, L.K.1
Ahrendt, P.2
Larsen, J.3
-
50
-
-
0001117320
-
A quantitative approach to figural "goodness"
-
doi: 10.1037/h0055809
-
Hochberg, J., & McAlister, E. (1953). A quantitative approach to figural "goodness". Journal of Experimental Psychology, 46, 361-364. doi: 10.1037/h0055809
-
(1953)
Journal of Experimental Psychology
, vol.46
, pp. 361-364
-
-
Hochberg, J.1
McAlister, E.2
-
51
-
-
0021702638
-
Parts in recognition
-
doi:10.1016/0010-0277(84)90022-2
-
Hoffman, D. D., & Richards, W. A. (1984). Parts in recognition. Cognition, 18, 65-96. doi:10.1016/0010-0277(84)90022-2
-
(1984)
Cognition
, vol.18
, pp. 65-96
-
-
Hoffman, D.D.1
Richards, W.A.2
-
52
-
-
84867126009
-
Modeling images using transformed Indian buffet processes
-
In J. Langford & J. Pineau (Eds., Proceedings of the 29th International Conference on Machine Learning, New York, NY: Omnipress
-
Hu, Y., Zhai, K., Williamson, S., & Boyd-Graber, J. (2012). Modeling images using transformed Indian buffet processes. In J. Langford & J. Pineau (Eds.), Proceedings of the 29th International Conference on Machine Learning (pp. 1511-1518). New York, NY: Omnipress.
-
(2012)
, pp. 1511-1518
-
-
Hu, Y.1
Zhai, K.2
Williamson, S.3
Boyd-Graber, J.4
-
53
-
-
84887534474
-
Unsupervised scene analysis and reconstruction using nonparametric Bayesian models
-
In N. Roy, P. Newman, & S. Srinivasa (Eds., Cambridge, MA: MIT Press
-
Joho, D., Tipaldi, G. D., Engelhard, N., Stachniss, C., & Burgard, W. (2013). Unsupervised scene analysis and reconstruction using nonparametric Bayesian models. In N. Roy, P. Newman, & S. Srinivasa (Eds.), Robotics: Science and systems VIII (pp. 161-168). Cambridge, MA: MIT Press.
-
(2013)
Robotics: Science and systems VIII
, pp. 161-168
-
-
Joho, D.1
Tipaldi, G.D.2
Engelhard, N.3
Stachniss, C.4
Burgard, W.5
-
54
-
-
80055001436
-
Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition
-
doi:10.1017/S0140525X10003134
-
Jones, M., & Love, B. C. (2011). Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences, 34, 169-188. doi:10.1017/S0140525X10003134
-
(2011)
Behavioral and Brain Sciences
, vol.34
, pp. 169-188
-
-
Jones, M.1
Love, B.C.2
-
55
-
-
79955750435
-
Bayesian nonparametric learning: Expressive priors for intelligent systems
-
In R. Dechter, H. Geffner, & J. Y. Halpern (Eds., London, England: College Publications
-
Jordan, M. I. (2010). Bayesian nonparametric learning: Expressive priors for intelligent systems. In R. Dechter, H. Geffner, & J. Y. Halpern (Eds.), Heuristics, probability and causality: A tribute to Judea Pearl (pp. 167-186). London, England: College Publications.
-
(2010)
Heuristics, probability and causality: A tribute to Judea Pearl
, pp. 167-186
-
-
Jordan, M.I.1
-
56
-
-
0003954752
-
Organization in vision: Essays on Gestalt perception
-
New York, NY: Praeger
-
Kanizsa, G. (1979). Organization in vision: Essays on Gestalt perception. New York, NY: Praeger.
-
(1979)
-
-
Kanizsa, G.1
-
57
-
-
60749101277
-
Structured statistical models of inductive reasoning
-
doi:10.1037/a0014282
-
Kemp, C., & Tenenbaum, J. B. (2009). Structured statistical models of inductive reasoning. Psychological Review, 116, 20-58. doi:10.1037/a0014282
-
(2009)
Psychological Review
, vol.116
, pp. 20-58
-
-
Kemp, C.1
Tenenbaum, J.B.2
-
58
-
-
0000424981
-
Concerning the applicability of geometric models to similarity data: The interrelationship between similarity and spatial density
-
doi:10.1037/0033-295X .85.5.445
-
Krumhansl, C. (1978). Concerning the applicability of geometric models to similarity data: The interrelationship between similarity and spatial density. Psychological Review, 85, 445-463. doi:10.1037/0033-295X .85.5.445
-
(1978)
Psychological Review
, vol.85
, pp. 445-463
-
-
Krumhansl, C.1
-
59
-
-
0026477904
-
Alcove: An exemplar-based connectionist model of category learning
-
doi:10.1037/0033-295X.99.1.22
-
Kruschke, J. K. (1992). Alcove: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44. doi:10.1037/0033-295X.99.1.22
-
(1992)
Psychological Review
, vol.99
, pp. 22-44
-
-
Kruschke, J.K.1
-
60
-
-
33750190656
-
Locally Bayesian learning with applications to retrospective revaluation and highlighting
-
doi:10.1037/0033-295X.113.4.677
-
Kruschke, J. K. (2006). Locally Bayesian learning with applications to retrospective revaluation and highlighting. Psychological Review, 113, 677-699. doi:10.1037/0033-295X.113.4.677
-
(2006)
Psychological Review
, vol.113
, pp. 677-699
-
-
Kruschke, J.K.1
-
61
-
-
0036516795
-
Extending the ALCOVE model of category learning to featural stimulus domains
-
doi:10.3758/BF03196256
-
Lee, M. D., & Navarro, D. J. (2002). Extending the ALCOVE model of category learning to featural stimulus domains. Psychonomic Bulletin & Review, 9, 43-58. doi:10.3758/BF03196256
-
(2002)
Psychonomic Bulletin & Review
, vol.9
, pp. 43-58
-
-
Lee, M.D.1
Navarro, D.J.2
-
62
-
-
0031501881
-
Effects of background knowledge on object categorization and part detection
-
doi: 10.1037/0096-1523.23.4.1153
-
Lin, E. L., & Murphy, G. L. (1997). Effects of background knowledge on object categorization and part detection. Journal of Experimental Psychology: Human Perception and Performance, 23, 1153-1169. doi: 10.1037/0096-1523.23.4.1153
-
(1997)
Journal of Experimental Psychology: Human Perception and Performance
, vol.23
, pp. 1153-1169
-
-
Lin, E.L.1
Murphy, G.L.2
-
63
-
-
35348999016
-
Simplicity and probability in causal explanation
-
doi:10.1016/j.cogpsych.2006.09.006
-
Lombrozo, T. (2007). Simplicity and probability in causal explanation. Cognitive Psychology, 55, 232-257. doi:10.1016/j.cogpsych.2006.09.006
-
(2007)
Cognitive Psychology
, vol.55
, pp. 232-257
-
-
Lombrozo, T.1
-
64
-
-
1942539715
-
SUSTAIN: A network model of category learning
-
doi:10.1037/0033-295X.111.2.309
-
Love, B. C., Medin, D. L., & Gureckis, T. M. (2004). SUSTAIN: A network model of category learning. Psychological Review, 111, 309-332. doi:10.1037/0033-295X.111.2.309
-
(2004)
Psychological Review
, vol.111
, pp. 309-332
-
-
Love, B.C.1
Medin, D.L.2
Gureckis, T.M.3
-
65
-
-
0004005973
-
Individual choice behavior: A theoretical analysis
-
New York, NY: Wiley
-
Luce, R. D. (1959). Individual choice behavior: A theoretical analysis. New York, NY: Wiley.
-
(1959)
-
-
Luce, R.D.1
-
66
-
-
0004076524
-
The analysis of sensations
-
Chicago, IL: Open Court. (Original work published 1897)
-
Mach, E. (1959). The analysis of sensations. Chicago, IL: Open Court. (Original work published 1897).
-
(1959)
-
-
Mach, E.1
-
67
-
-
0007317951
-
Knowledge representation
-
Hillsdale, NJ: Erlbaum
-
Markman, A. B. (1998). Knowledge representation. Hillsdale, NJ: Erlbaum.
-
(1998)
-
-
Markman, A.B.1
-
68
-
-
0003834557
-
Vision
-
San Francisco, CA: Freeman
-
Marr, D. (1982). Vision. San Francisco, CA: Freeman.
-
(1982)
-
-
Marr, D.1
-
69
-
-
0018275277
-
Representation and recognition of the spatial organization of three-dimensional shapes
-
Proceedings of the Royal Society of London B: Biological Sciences, doi: 10.1098/rspb.1978.0020
-
Marr, D., & Nishihara, H. K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society of London B: Biological Sciences, 200, 269-294. doi: 10.1098/rspb.1978.0020
-
(1978)
, vol.200
, pp. 269-294
-
-
Marr, D.1
Nishihara, H.K.2
-
70
-
-
84862703795
-
Local form-motion interactions influence global form perception
-
doi:10.3758/s13414-012-0307-y
-
McCarthy, J. D., Cordeiro, D., & Caplovitz, G. P. (2012). Local form-motion interactions influence global form perception. Attention, Perception, & Psychophysics, 74, 816-823. doi:10.3758/s13414-012-0307-y
-
(2012)
Attention, Perception, & Psychophysics
, vol.74
, pp. 816-823
-
-
McCarthy, J.D.1
Cordeiro, D.2
Caplovitz, G.P.3
-
71
-
-
12044250792
-
Respects for similarity
-
doi:10.1037/0033-295X.100.2.254
-
Medin, D. L., Goldstone, R. L., & Gentner, D. (1993). Respects for similarity. Psychological Review, 100, 254-278. doi:10.1037/0033-295X.100.2.254
-
(1993)
Psychological Review
, vol.100
, pp. 254-278
-
-
Medin, D.L.1
Goldstone, R.L.2
Gentner, D.3
-
72
-
-
79951739147
-
Nonparametric latent feature models for link prediction
-
In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), Cambridge, MA: MIT Press
-
Miller, K. T., Griffiths, T. L., & Jordan, M. I. (2009). Nonparametric latent feature models for link prediction. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), Advances in neural information processing systems 22 (pp. 1276-1284). Cambridge, MA: MIT Press.
-
(2009)
Advances in neural information processing systems
, vol.22
, pp. 1276-1284
-
-
Miller, K.T.1
Griffiths, T.L.2
Jordan, M.I.3
-
73
-
-
0022100714
-
The role of theories in conceptual coherence
-
doi:10.1037/0033-295X .92.3.289
-
Murphy, G. L., & Medin, D. L. (1985). The role of theories in conceptual coherence. Psychological Review, 92, 289-316. doi:10.1037/0033-295X .92.3.289
-
(1985)
Psychological Review
, vol.92
, pp. 289-316
-
-
Murphy, G.L.1
Medin, D.L.2
-
74
-
-
77649187271
-
Similarity, feature discovery, and the size principle
-
doi:10.1016/j .actpsy.2009.10.008
-
Navarro, D. J., & Perfors, A. F. (2010). Similarity, feature discovery, and the size principle. Acta Psychologica, 133, 256-268. doi:10.1016/j .actpsy.2009.10.008
-
(2010)
Acta Psychologica
, vol.133
, pp. 256-268
-
-
Navarro, D.J.1
Perfors, A.F.2
-
75
-
-
77950032550
-
Markov chain sampling methods for Dirichlet process mixture models
-
Neal, R. M. (2000). Markov chain sampling methods for Dirichlet process mixture models. Journal of Computational and Graphical Statistics, 9, 249-265.
-
(2000)
Journal of Computational and Graphical Statistics
, vol.9
, pp. 249-265
-
-
Neal, R.M.1
-
76
-
-
0004243597
-
Cognitive psychology
-
New York, NY: Appleton-Century-Crofts
-
Neisser, U. (1967). Cognitive psychology. New York, NY: Appleton-Century-Crofts.
-
(1967)
-
-
Neisser, U.1
-
77
-
-
0021117327
-
Choice, similarity, and the context theory of classification
-
doi:10.1037/0278-7393.10.1.104
-
Nosofsky, R. M. (1984). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 104-114. doi:10.1037/0278-7393.10.1.104
-
(1984)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.10
, pp. 104-114
-
-
Nosofsky, R.M.1
-
78
-
-
0022686961
-
Attention, similarity, and the identification-categorization relationship
-
doi:10.1037/0096-3445.115.1.39
-
Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115, 39-57. doi:10.1037/0096-3445.115.1.39
-
(1986)
Journal of Experimental Psychology: General
, vol.115
, pp. 39-57
-
-
Nosofsky, R.M.1
-
79
-
-
0026114706
-
Tests of an exemplar model for relating perceptual classification and recognition memory
-
doi:10.1037/0096-1523.17.1.3
-
Nosofsky, R. M. (1991). Tests of an exemplar model for relating perceptual classification and recognition memory. Journal of Experimental Psychology: Human Perception and Performance, 17, 3-27. doi:10.1037/0096-1523.17.1.3
-
(1991)
Journal of Experimental Psychology: Human Perception and Performance
, vol.17
, pp. 3-27
-
-
Nosofsky, R.M.1
-
80
-
-
84872766738
-
The generalized context model: An exemplar model of classification
-
In E. M. Pothos & A. J. Wills (Eds., Cambridge, UK: Cambridge University Press. doi:10.1017/CBO9780511921322.002
-
Nosofsky, R. M. (2011). The generalized context model: An exemplar model of classification. In E. M. Pothos & A. J. Wills (Eds.), Formal approaches in categorization (pp. 18-39). Cambridge, UK: Cambridge University Press. doi:10.1017/CBO9780511921322.002
-
(2011)
Formal approaches in categorization
, pp. 18-39
-
-
Nosofsky, R.M.1
-
81
-
-
0004253774
-
Rational models of cognition
-
Oxford, England: Oxford University Press
-
Oaksford, M., & Chater, N. (Eds.). (1998). Rational models of cognition. Oxford, England: Oxford University Press.
-
(1998)
-
-
Oaksford, M.1
Chater, N.2
-
82
-
-
40649090888
-
Bayesian learning of visual chunks by human observers
-
Proceedings of the National Academy of Sciences of the United States of America, doi:10.1073/pnas.0708424105
-
Orbán, G., Fiser, J., Aslin, R. N., & Lengyel, M. (2008). Bayesian learning of visual chunks by human observers. Proceedings of the National Academy of Sciences of the United States of America, 105, 2745-2750. doi:10.1073/pnas.0708424105
-
(2008)
, vol.105
, pp. 2745-2750
-
-
Orbán, G.1
Fiser, J.2
Aslin, R.N.3
Lengyel, M.4
-
83
-
-
0002296905
-
Visual perception and world knowledge: Notes on a model of sensory-cognitive interaction
-
In D. A. Norman & D. E. Rumelhart (Eds., San Francisco, CA: Freeman
-
Palmer, S. E. (1975). Visual perception and world knowledge: Notes on a model of sensory-cognitive interaction. In D. A. Norman & D. E. Rumelhart (Eds.), Explorations in cognition (pp. 279-307). San Francisco, CA: Freeman.
-
(1975)
Explorations in cognition
, pp. 279-307
-
-
Palmer, S.E.1
-
84
-
-
49449120034
-
Hierarchical structure in perceptual representation
-
doi:10.1016/0010-0285(77)90016-0
-
Palmer, S. E. (1977). Hierarchical structure in perceptual representation. Cognitive Psychology, 9, 441-474. doi:10.1016/0010-0285(77)90016-0
-
(1977)
Cognitive Psychology
, vol.9
, pp. 441-474
-
-
Palmer, S.E.1
-
85
-
-
85190183493
-
Fundamental aspects of cognitive representation
-
In E. Rosch & B. B. Lloyd (Eds., Hillsdale, NJ: Erlbaum
-
Palmer, S. E. (1978). Fundamental aspects of cognitive representation. In E. Rosch & B. B. Lloyd (Eds.), Cognition and categorization (pp. 250-303). Hillsdale, NJ: Erlbaum.
-
(1978)
Cognition and categorization
, pp. 250-303
-
-
Palmer, S.E.1
-
86
-
-
0002450273
-
The psychology of perceptual organization: A transformational approach
-
In J. Beck, B. Hope, & A. Rosenfeld (Eds., New York, NY: Academic Press
-
Palmer, S. E. (1983). The psychology of perceptual organization: A transformational approach. In J. Beck, B. Hope, & A. Rosenfeld (Eds.), Human and machine vision (pp. 269-339). New York, NY: Academic Press.
-
(1983)
Human and machine vision
, pp. 269-339
-
-
Palmer, S.E.1
-
87
-
-
85120388634
-
Reference frames in the perception of shape an orientation
-
In B. E. Shepp & S. Ballesteros (Eds., Hillsdale, NJ: Erlbaum
-
Palmer, S. E. (1989). Reference frames in the perception of shape an orientation. In B. E. Shepp & S. Ballesteros (Eds.), Object perception: Structure and process (pp. 121-163). Hillsdale, NJ: Erlbaum.
-
(1989)
Object perception: Structure and process
, pp. 121-163
-
-
Palmer, S.E.1
-
88
-
-
0004111019
-
Vision science: Photons to phenomenology
-
Cambridge, MA: MIT Press
-
Palmer, S. E. (1999). Vision science: Photons to phenomenology. Cambridge, MA: MIT Press.
-
(1999)
-
-
Palmer, S.E.1
-
89
-
-
0003391330
-
Probabilistic reasoning in intelligent systems: Networks of plausible inference
-
San Francisco, CA: Morgan Kaufmann
-
Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Francisco, CA: Morgan Kaufmann.
-
(1988)
-
-
Pearl, J.1
-
90
-
-
0039011656
-
Categorization and the parsing of objects
-
In A. Ram & K. Eiselt (Eds., Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Erlbaum
-
Pevtzow, R., & Goldstone, R. L. (1994). Categorization and the parsing of objects. In A. Ram & K. Eiselt (Eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 717-722). Hillsdale, NJ: Erlbaum.
-
(1994)
, pp. 717-722
-
-
Pevtzow, R.1
Goldstone, R.L.2
-
91
-
-
0242641721
-
Combinatorial stochastic processes (Tech. Rep. No. 621)
-
Berkeley: Department of Statistics, University of California
-
Pitman, J. (2002). Combinatorial stochastic processes (Tech. Rep. No. 621). Berkeley: Department of Statistics, University of California.
-
(2002)
-
-
Pitman, J.1
-
92
-
-
84926335096
-
Mental representation
-
In E. N. Zalta (Ed.), Retrieved from
-
Pitt, D. (2008). Mental representation. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy. Retrieved from http://plato.stanford.edu/archives/fall2008/entries/mental-representation/
-
(2008)
The Stanford encyclopedia of philosophy
-
-
Pitt, D.1
-
93
-
-
0142185090
-
Wholes, holes, and basic features in vision
-
doi:10.1016/j.tics.2003.09.007
-
Pomerantz, J. R. (2003). Wholes, holes, and basic features in vision. Trends in Cognitive Sciences, 7, 471-473. doi:10.1016/j.tics.2003.09.007
-
(2003)
Trends in Cognitive Sciences
, vol.7
, pp. 471-473
-
-
Pomerantz, J.R.1
-
94
-
-
67650712188
-
Predicting category intuitiveness with the rational model, the simplicity model, and the generalized context model
-
doi:10.1037/a0015903
-
Pothos, E. M., & Bailey, T. M. (2009). Predicting category intuitiveness with the rational model, the simplicity model, and the generalized context model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35, 1062-1080. doi:10.1037/a0015903
-
(2009)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.35
, pp. 1062-1080
-
-
Pothos, E.M.1
Bailey, T.M.2
-
95
-
-
0003630498
-
Orientation and form
-
New York, NY: Macmillan
-
Rock, I. (1973). Orientation and form. New York, NY: Macmillan.
-
(1973)
-
-
Rock, I.1
-
96
-
-
0002656190
-
Feature discovery by competitive learning
-
doi:10.1207/s15516709cog0901_5
-
Rumelhart, D. E., & Zipser, D. (1985). Feature discovery by competitive learning. Cognitive Science, 9, 75-112. doi:10.1207/s15516709cog0901_5
-
(1985)
Cognitive Science
, vol.9
, pp. 75-112
-
-
Rumelhart, D.E.1
Zipser, D.2
-
97
-
-
77954757755
-
Ambiguity and invariance: Two fundamental challenges for visual processing
-
doi:10.1016/j.conb.2010.04.013
-
Rust, N. C., & Stocker, A. A. (2010). Ambiguity and invariance: Two fundamental challenges for visual processing. Current Opinion in Neurobiology, 20, 382-388. doi:10.1016/j.conb.2010.04.013
-
(2010)
Current Opinion in Neurobiology
, vol.20
, pp. 382-388
-
-
Rust, N.C.1
Stocker, A.A.2
-
98
-
-
78249247078
-
Rational approximations to rational models: Alternative algorithms for category learning
-
doi:10.1037/a0020511
-
Sanborn, A. N., Griffiths, T. L., & Navarro, D. J. (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, 117, 1144-1167. doi:10.1037/a0020511
-
(2010)
Psychological Review
, vol.117
, pp. 1144-1167
-
-
Sanborn, A.N.1
Griffiths, T.L.2
Navarro, D.J.3
-
99
-
-
0031746593
-
Development of features in object concepts
-
doi:10.1017/S0140525X98000107
-
Schyns, P. G., Goldstone, R. L., & Thibaut, J. (1998). Development of features in object concepts. Behavioral and Brain Sciences, 21, 1-17. doi:10.1017/S0140525X98000107
-
(1998)
Behavioral and Brain Sciences
, vol.21
, pp. 1-17
-
-
Schyns, P.G.1
Goldstone, R.L.2
Thibaut, J.3
-
100
-
-
77957089606
-
The ontogeny of part representation in object concepts
-
In D. L. Medin (Ed.), San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60413-2
-
Schyns, P. G., & Murphy, G. (1994). The ontogeny of part representation in object concepts. In D. L. Medin (Ed.), The psychology of learning and motivation (Vol. 31, p.305-349). San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60413-2
-
(1994)
The psychology of learning and motivation
, vol.31
, pp. 305-349
-
-
Schyns, P.G.1
Murphy, G.2
-
101
-
-
0031483327
-
Categorization creates functional features
-
doi:10.1037/0278-7393.23.3.681
-
Schyns, P. G., & Rodet, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 681-696. doi:10.1037/0278-7393.23.3.681
-
(1997)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.23
, pp. 681-696
-
-
Schyns, P.G.1
Rodet, L.2
-
102
-
-
84979038270
-
Pattern recognition and modern computers
-
In Proceedings of the March 1-3, 1955, Western Joint Computer Conference, New York, NY: Association for Computing Machinery. doi:10.1145/1455292.1455310
-
Selfridge, O. G. (1955). Pattern recognition and modern computers. In Proceedings of the March 1-3, 1955, Western Joint Computer Conference (pp. 91-93). New York, NY: Association for Computing Machinery. doi:10.1145/1455292.1455310
-
(1955)
, pp. 91-93
-
-
Selfridge, O.G.1
-
103
-
-
0023223978
-
Towards a universal law of generalization for psychological science
-
doi:10.1126/science .3629243
-
Shepard, R. N. (1987). Towards a universal law of generalization for psychological science. Science, 237, 1317-1323. doi:10.1126/science .3629243
-
(1987)
Science
, vol.237
, pp. 1317-1323
-
-
Shepard, R.N.1
-
104
-
-
77956653176
-
Perceptual learning of alphanumeric-like characters
-
In R. L. Goldstone, D. L. Medin, & P. G. Schyns (Eds.), Perceptual learning, San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60281-9
-
Shiffrin, R. M., & Lightfoot, N. (1997). Perceptual learning of alphanumeric-like characters. In R. L. Goldstone, D. L. Medin, & P. G. Schyns (Eds.), The Psychology of Learning and Motivation: Vol. 36. Perceptual learning (pp. 45-81). San Diego, CA: Academic Press. doi:10.1016/S0079-7421(08)60281-9
-
(1997)
The Psychology of Learning and Motivation
, vol.36
, pp. 45-81
-
-
Shiffrin, R.M.1
Lightfoot, N.2
-
105
-
-
77955130589
-
Computational models of developmental psychology
-
In R. Sun (Ed., New York, NY: Cambridge University Press. doi:10.1017/CBO9780511816772.020
-
Shultz, T. R., & Sirois, S. (2008). Computational models of developmental psychology. In R. Sun (Ed.), The Cambridge handbook of computational psychology (pp. 451-476). New York, NY: Cambridge University Press. doi:10.1017/CBO9780511816772.020
-
(2008)
The Cambridge handbook of computational psychology
, pp. 451-476
-
-
Shultz, T.R.1
Sirois, S.2
-
106
-
-
84919714834
-
Shape: A developmental product
-
In L. Carlson & E. Van Der Zee (Eds., Oxford, England: Oxford University Press. doi:10.1093/acprof:oso/9780199264339.003.0016
-
Smith, L. B. (2005). Shape: A developmental product. In L. Carlson & E. Van Der Zee (Eds.), Functional features in language and space: Insights from perception, categorization, and development (pp. 235-255). Oxford, England: Oxford University Press. doi:10.1093/acprof:oso/9780199264339.003.0016
-
(2005)
Functional features in language and space: Insights from perception, categorization, and development
, pp. 235-255
-
-
Smith, L.B.1
-
107
-
-
33646697510
-
Learning image components for object recognition
-
Spratling, M. W. (2006). Learning image components for object recognition. Journal of Machine Learning Research, 7, 793-815.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 793-815
-
-
Spratling, M.W.1
-
108
-
-
72149090968
-
Shared segmentation of natural scenes using dependent Pitman-Yor processes
-
In D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, & A. Curlotta (Eds.), Cambridge, MA: MIT Press
-
Sudderth, E., & Jordan, M. I. (2009). Shared segmentation of natural scenes using dependent Pitman-Yor processes. In D. Koller, Y. Bengio, D. Schuurmans, L. Bottou, & A. Curlotta (Eds.), Advances in neural information processing systems 21 (pp. 1585-1592). Cambridge, MA: MIT Press.
-
(2009)
Advances in neural information processing systems
, vol.21
, pp. 1585-1592
-
-
Sudderth, E.1
Jordan, M.I.2
-
109
-
-
77954201482
-
Hierarchical Bayesian nonparametric models with applications
-
In N. L. Hjort, C. Holmes, P. Müller, & S. G. Walker (Eds., Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511802478.006
-
Teh, Y. W., & Jordan, M. I. (2010). Hierarchical Bayesian nonparametric models with applications. In N. L. Hjort, C. Holmes, P. Müller, & S. G. Walker (Eds.), Bayesian nonparametrics (pp. 158-207). Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511802478.006
-
(2010)
Bayesian nonparametrics
, pp. 158-207
-
-
Teh, Y.W.1
Jordan, M.I.2
-
110
-
-
32344440027
-
Sharing clusters among related groups: Hierarchical Dirichlet processes
-
In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Cambridge, MA: MIT Press
-
Teh, Y. W., Jordan, M. I., Beal, M., & Blei, D. (2004). Sharing clusters among related groups: Hierarchical Dirichlet processes. In L. K. Saul, Y. Weiss, & L. Bottou (Eds.), Advances in neural information processing systems 17 (pp. 1385-1392). Cambridge, MA: MIT Press.
-
(2004)
Advances in neural information processing systems
, vol.17
, pp. 1385-1392
-
-
Teh, Y.W.1
Jordan, M.I.2
Beal, M.3
Blei, D.4
-
111
-
-
84898999268
-
Rules and similarity in concept learning
-
In S. A. Solla, T. K. Leen, & K.-R. Muller (Eds.), Cambridge, MA: MIT Press
-
Tenenbaum, J. B. (2000). Rules and similarity in concept learning. In S. A. Solla, T. K. Leen, & K.-R. Muller (Eds.), Advances in neural information processing systems 12 (pp. 59-65). Cambridge, MA: MIT Press.
-
(2000)
Advances in neural information processing systems
, vol.12
, pp. 59-65
-
-
Tenenbaum, J.B.1
-
112
-
-
0035735751
-
Generalization, similarity, and Bayesian inference
-
doi: 10.1017/S0140525X01000061
-
Tenenbaum, J. B., & Griffiths, T. L. (2001). Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24, 629-640. doi: 10.1017/S0140525X01000061
-
(2001)
Behavioral and Brain Sciences
, vol.24
, pp. 629-640
-
-
Tenenbaum, J.B.1
Griffiths, T.L.2
-
113
-
-
85161989394
-
The infinite gamma-Poisson feature model
-
In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Cambridge, MA: MIT Press
-
Titsias, M. (2008). The infinite gamma-Poisson feature model. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Advances in neural information processing systems 20 (pp. 1513-1520). Cambridge, MA: MIT Press.
-
(2008)
Advances in neural information processing systems
, vol.20
, pp. 1513-1520
-
-
Titsias, M.1
-
114
-
-
80055035987
-
A quantum probability account of order effects in inference
-
doi:10.1111/j.1551-6709.2011.01197.x
-
Trueblood, J. S., & Busemeyer, J. R. (2011). A quantum probability account of order effects in inference. Cognitive Science, 35, 1518-1552. doi:10.1111/j.1551-6709.2011.01197.x
-
(2011)
Cognitive Science
, vol.35
, pp. 1518-1552
-
-
Trueblood, J.S.1
Busemeyer, J.R.2
-
115
-
-
58149411184
-
Features of similarity
-
doi:10.1037/0033-295X.84.4.327
-
Tversky, A. (1977). Features of similarity. Psychological Review, 84, 327-352. doi:10.1037/0033-295X.84.4.327
-
(1977)
Psychological Review
, vol.84
, pp. 327-352
-
-
Tversky, A.1
-
116
-
-
84870156819
-
Using priors to formalize theory: Optimal attention and the generalized context model
-
doi:10.3758/s13423-012-0300-4
-
Vanpaemel, W., & Lee, M. D. (2012). Using priors to formalize theory: Optimal attention and the generalized context model. Psychonomic Bulletin & Review, 19, 1047-1056. doi:10.3758/s13423-012-0300-4
-
(2012)
Psychonomic Bulletin & Review
, vol.19
, pp. 1047-1056
-
-
Vanpaemel, W.1
Lee, M.D.2
-
117
-
-
84862293140
-
Dependent Indian buffet processes
-
In Y. W. Teh & M. Titterington (Eds.), Proceedings of the 13th International Conference on Artificial Intelligence and Statistics, Retrieved from
-
Williamson, S., Orbanz, P., & Ghahramani, Z. (2010). Dependent Indian buffet processes. In Y. W. Teh & M. Titterington (Eds.), Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (pp. 924-931). Retrieved from http://machinelearning.wustl.edu/mlpapers/paper_files/AISTATS2010_WilliamsonOG10.pdf
-
(2010)
, pp. 924-931
-
-
Williamson, S.1
Orbanz, P.2
Ghahramani, Z.3
-
118
-
-
54049091313
-
Particle filtering for nonparametric Bayesian matrix factorization
-
In B. Schölkopf, J. Platt, & T. Hoffman (Eds.), Cambridge, MA: MIT Press
-
Wood, F., & Griffiths, T. L. (2007). Particle filtering for nonparametric Bayesian matrix factorization. In B. Schölkopf, J. Platt, & T. Hoffman (Eds.), Advances in neural information processing systems 19 (pp. 1513-1520). Cambridge, MA: MIT Press.
-
(2007)
Advances in neural information processing systems
, vol.19
, pp. 1513-1520
-
-
Wood, F.1
Griffiths, T.L.2
-
119
-
-
80053160972
-
A non-parametric Bayesian method for inferring hidden causes
-
In R. Dechter & T. Richardson (Eds.), Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence, Arlington, VA: AUAI Press
-
Wood, F., Griffiths, T. L., & Ghahramani, Z. (2006). A non-parametric Bayesian method for inferring hidden causes. In R. Dechter & T. Richardson (Eds.), Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (pp. 536-543). Arlington, VA: AUAI Press.
-
(2006)
, pp. 536-543
-
-
Wood, F.1
Griffiths, T.L.2
Ghahramani, Z.3
-
120
-
-
34248578061
-
Word learning as Bayesian inference
-
doi:10.1037/0033-295X.114.2.245
-
Xu, F., & Tenenbaum, J. B. (2007). Word learning as Bayesian inference. Psychological Review, 114, 245-272. doi:10.1037/0033-295X.114.2.245
-
(2007)
Psychological Review
, vol.114
, pp. 245-272
-
-
Xu, F.1
Tenenbaum, J.B.2
-
121
-
-
84857965362
-
A rational analysis of the acquisition of multisensory representations
-
doi: 10.1111/j.1551-6709.2011.01216.x
-
Yildirim, I., & Jacobs, R. A. (2012). A rational analysis of the acquisition of multisensory representations. Cognitive Science, 36, 305-332. doi: 10.1111/j.1551-6709.2011.01216.x
-
(2012)
Cognitive Science
, vol.36
, pp. 305-332
-
-
Yildirim, I.1
Jacobs, R.A.2
-
122
-
-
77649182703
-
Finding the features that represent stimuli
-
doi:10.1016/j.actpsy.2009.07.014
-
Zeigenfuse, M. D., & Lee, M. D. (2010). Finding the features that represent stimuli. Acta Psychologica, 133, 283-295. doi:10.1016/j.actpsy.2009.07.014
-
(2010)
Acta Psychologica
, vol.133
, pp. 283-295
-
-
Zeigenfuse, M.D.1
Lee, M.D.2
|