-
4
-
-
38249000748
-
Relations between prototype, exemplar, and decision bound models of categorization
-
Ashby, F. G., & Maddox, W. T. (1993). Relations between prototype, exemplar, and decision bound models of categorization. Journal of Mathematical Psychology, 37, 372-400.
-
(1993)
Journal of Mathematical Psychology
, vol.37
, pp. 372-400
-
-
Ashby, F.G.1
Maddox, W.T.2
-
5
-
-
0003857778
-
A gentle tutorial of the EM algorithm and its applications to parameter estimation for Gaussian mixture and hidden Markov models
-
No. TR-97-021, Berkeley, CA: International Computer Science Institute
-
Bilmes, J. A. (1997). A gentle tutorial of the EM algorithm and its applications to parameter estimation for Gaussian mixture and hidden Markov models (Tech. Rep. No. TR-97-021). Berkeley, CA: International Computer Science Institute.
-
(1997)
Tech. Rep
-
-
Bilmes, J.A.1
-
6
-
-
0036360412
-
Compositional syntax from cultural transmission
-
Brighton, H. (2002). Compositional syntax from cultural transmission. Artificial Life, 25-54.
-
(2002)
Artificial Life
, pp. 25-54
-
-
Brighton, H.1
-
8
-
-
0003424853
-
On stochastic versions of the EM algorithm
-
No. 2514, Monbonnot, France: Institut National de Recherche en Informatique et en Automatique
-
Celeux, G., Chauveau, D., & Diebolt, J. (1995). On stochastic versions of the EM algorithm (Tech. Rep. No. 2514). Monbonnot, France: Institut National de Recherche en Informatique et en Automatique.
-
(1995)
Tech. Rep
-
-
Celeux, G.1
Chauveau, D.2
Diebolt, J.3
-
9
-
-
0002241694
-
The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem
-
Celeux, G., & Diebolt, J. (1985). The SEM algorithm: A probabilistic teacher algorithm derived from the EM algorithm for the mixture problem. Computational Statistics Quarterly, 2, 73-82.
-
(1985)
Computational Statistics Quarterly
, vol.2
, pp. 73-82
-
-
Celeux, G.1
Diebolt, J.2
-
10
-
-
0009219695
-
A probabilistic teacher algorithm for iterative maximum likelihood estimation
-
H. H. Bock Ed, North-Holland: Elsevier
-
Celeux, G., & Diebolt, J. (1988). A probabilistic teacher algorithm for iterative maximum likelihood estimation. In H. H. Bock (Ed.), Classification and related methods of data analysis (pp. 617-623). North-Holland: Elsevier.
-
(1988)
Classification and related methods of data analysis
, pp. 617-623
-
-
Celeux, G.1
Diebolt, J.2
-
11
-
-
0001312813
-
A stochastic approximation type EM algorithm for the mixture problem
-
Celeux, G., & Diebolt, J. (1992). A stochastic approximation type EM algorithm for the mixture problem. Stochastics and Stochastics Reports, 41, 119-134.
-
(1992)
Stochastics and Stochastics Reports
, vol.41
, pp. 119-134
-
-
Celeux, G.1
Diebolt, J.2
-
12
-
-
0030191849
-
Reconciling simplicity and likelihood principles in perceptual organization
-
Chater, N. (1996). Reconciling simplicity and likelihood principles in perceptual organization. Psychological Review, 103, 566-581.
-
(1996)
Psychological Review
, vol.103
, pp. 566-581
-
-
Chater, N.1
-
13
-
-
0033052444
-
Ten years of the rational analysis of cognition
-
Chater, N., & Oaksford, M. (1999). Ten years of the rational analysis of cognition. Trends in Cognitive Science, 3, 57-65.
-
(1999)
Trends in Cognitive Science
, vol.3
, pp. 57-65
-
-
Chater, N.1
Oaksford, M.2
-
15
-
-
84919674185
-
-
Christiansen, M. H, & Kirby, S, Eds, Oxford: Oxford University Press
-
Christiansen, M. H., & Kirby, S. (Eds.). (2003). Language evolution. Oxford: Oxford University Press.
-
(2003)
Language evolution
-
-
-
17
-
-
0033243858
-
Convergence of a stochastic approximation version of the EM algorithm
-
Delyon, B., Lavielle, M., & Moulines, E. (1999). Convergence of a stochastic approximation version of the EM algorithm. The Annals of Statistics, 27, 94-128.
-
(1999)
The Annals of Statistics
, vol.27
, pp. 94-128
-
-
Delyon, B.1
Lavielle, M.2
Moulines, E.3
-
18
-
-
85039208145
-
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, B, 39.
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, B, 39.
-
-
-
-
19
-
-
0344601483
-
Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions
-
Diebolt, J., & Celeux, G. (1993). Asymptotic properties of a stochastic EM algorithm for estimating mixing proportions. Communications in Statistics - Stochastic models, 9, 599-613.
-
(1993)
Communications in Statistics - Stochastic models
, vol.9
, pp. 599-613
-
-
Diebolt, J.1
Celeux, G.2
-
20
-
-
0002241603
-
Stochastic EM: Method and application
-
W. Gilks, S. Richardson, & D. J. Spiegelhalter Eds, Suffolk, UK: Chapman and Hall
-
Diebolt, J., & Ip, E. H. S. (1996). Stochastic EM: method and application. In W. Gilks, S. Richardson, & D. J. Spiegelhalter (Eds.), Markov chain Monte Carlo in practice (pp. 259-273). Suffolk, UK: Chapman and Hall.
-
(1996)
Markov chain Monte Carlo in practice
, pp. 259-273
-
-
Diebolt, J.1
Ip, E.H.S.2
-
21
-
-
79251578707
-
Innateness and culture in the evolution of language
-
A. Cangelosi, A. D. M. Smith, & K. Smith Eds, Hackensack, NJ: World Scientific
-
Dowman, M., Kirby, S., & Griffiths, T. L. (2006). Innateness and culture in the evolution of language. In A. Cangelosi, A. D. M. Smith, & K. Smith (Eds.), The evolution of language: Proceedings of the 6th international conference. Hackensack, NJ: World Scientific.
-
(2006)
The evolution of language: Proceedings of the 6th international conference
-
-
Dowman, M.1
Kirby, S.2
Griffiths, T.L.3
-
22
-
-
0042358780
-
Convergence of the Monte Carlo expectation maximization for curved exponential families
-
Fort, G., & Moulines, E. (2003). Convergence of the Monte Carlo expectation maximization for curved exponential families. The Annals of Statistics, 31, 1220-1259.
-
(2003)
The Annals of Statistics
, vol.31
, pp. 1220-1259
-
-
Fort, G.1
Moulines, E.2
-
24
-
-
0001942829
-
Neural networks and the bias-variance dilemma
-
Geman, S., Bienenstock, E., & Doursat, R. (1992). Neural networks and the bias-variance dilemma. Neural Computation, 4, 1-58.
-
(1992)
Neural Computation
, vol.4
, pp. 1-58
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
25
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
-
Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
27
-
-
0003860037
-
-
Gilks, W, Richardson, S, & Spiegelhalter, D. J, Eds, Suffolk, UK: Chapman and Hall
-
Gilks, W., Richardson, S., & Spiegelhalter, D. J. (Eds.). (1996). Markov chain Monte Carlo in practice. Suffolk, UK: Chapman and Hall.
-
(1996)
Markov chain Monte Carlo in practice
-
-
-
28
-
-
0004274053
-
-
Greenberg, J, Ed, Cambridge, MA: MIT Press
-
Greenberg, J. (Ed.). (1963). Universals of language. Cambridge, MA: MIT Press.
-
(1963)
Universals of language
-
-
-
29
-
-
0011506131
-
-
Hawkins, J, Ed, Oxford: Blackwell
-
Hawkins, J. (Ed.). (1988). Explaining language universals. Oxford: Blackwell.
-
(1988)
Explaining language universals
-
-
-
31
-
-
0001259111
-
Bayesian model averaging: A tutorial (with discussion)
-
Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999). Bayesian model averaging: A tutorial (with discussion). Statistical Science, 14, 382-417.
-
(1999)
Statistical Science
, vol.14
, pp. 382-417
-
-
Hoeting, J.A.1
Madigan, D.2
Raftery, A.E.3
Volinsky, C.T.4
-
32
-
-
84863832355
-
Regularizing unpredictable variation: The roles of adult and child learners in language formation and change
-
Hudson-Kam, C. L., & Newport, E. L. (2005). Regularizing unpredictable variation: The roles of adult and child learners in language formation and change. Language Learning and Development, 1, 151-195.
-
(2005)
Language Learning and Development
, vol.1
, pp. 151-195
-
-
Hudson-Kam, C.L.1
Newport, E.L.2
-
33
-
-
0004279685
-
-
Hurford, J, Studdert-Kennedy, M, & Knight, C, Eds, Cambridge: Cambridge University Press
-
Hurford, J., Studdert-Kennedy, M., & Knight, C. (Eds.). (1998). Approaches to the evolution of language: Social and cognitive bases. Cambridge: Cambridge University Press.
-
(1998)
Approaches to the evolution of language: Social and cognitive bases
-
-
-
34
-
-
0036453791
-
On single versus multiple imputation for a class of stochastic algorithms estimating maximum likelihood
-
Ip, E. H. (2002). On single versus multiple imputation for a class of stochastic algorithms estimating maximum likelihood. Computational Statistics, 17, 517-524.
-
(2002)
Computational Statistics
, vol.17
, pp. 517-524
-
-
Ip, E.H.1
-
35
-
-
0011935523
-
A stochastic EM estimator in the presence of missing data - Theory and applications
-
Stanford, CA: Department of Statistics, Stanford University
-
Ip, E. H. S. (1994). A stochastic EM estimator in the presence of missing data - Theory and applications (Tech. Rep.). Stanford, CA: Department of Statistics, Stanford University.
-
(1994)
Tech. Rep
-
-
Ip, E.H.S.1
-
41
-
-
0035304656
-
Spontaneous evolution of linguistic structure: An iterated learning model of the emergence of regularity and irregularity
-
Kirby, S. (2001). Spontaneous evolution of linguistic structure: An iterated learning model of the emergence of regularity and irregularity. IEEE Journal of Evolutionary Computation, 5, 102-110.
-
(2001)
IEEE Journal of Evolutionary Computation
, vol.5
, pp. 102-110
-
-
Kirby, S.1
-
42
-
-
0001904511
-
The emergence of linguistic structure: An overview of the iterated learning model
-
A. Cangelosi & D. Parisi Eds, London: Springer Verlag
-
Kirby, S., & Hurford, J. (2002). The emergence of linguistic structure: An overview of the iterated learning model. In A. Cangelosi & D. Parisi (Eds.), Simulating the evolution of language (pp. 121-148). London: Springer Verlag.
-
(2002)
Simulating the evolution of language
, pp. 121-148
-
-
Kirby, S.1
Hurford, J.2
-
43
-
-
33749682935
-
From UG to universals: Linguistic adaptation through iterated learning
-
Kirby, S., Smith, K., & Brighton, H. (2004). From UG to universals: linguistic adaptation through iterated learning. Studies in Language, 28, 587-607.
-
(2004)
Studies in Language
, vol.28
, pp. 587-607
-
-
Kirby, S.1
Smith, K.2
Brighton, H.3
-
44
-
-
0035819773
-
The evolutionary dynamics of grammar acquisition
-
Komarova, N. L., Niyogi, P., & Nowak, M. A. (2001). The evolutionary dynamics of grammar acquisition. Journal of Theoretical Biology, 209, 43-59.
-
(2001)
Journal of Theoretical Biology
, vol.209
, pp. 43-59
-
-
Komarova, N.L.1
Niyogi, P.2
Nowak, M.A.3
-
46
-
-
0344009477
-
Compositionality
-
R. A. Wilson & F. Keil Eds, Cambridge, MA: MIT Press
-
Krifka, M. (2001). Compositionality. In R. A. Wilson & F. Keil (Eds.), The MIT encyclopedia of the cognitive sciences. Cambridge, MA: MIT Press.
-
(2001)
The MIT encyclopedia of the cognitive sciences
-
-
Krifka, M.1
-
47
-
-
0026477904
-
Alcove: An exemplar-based connectionist model of category learning
-
Kruschke, J. K. (1992). Alcove: An exemplar-based connectionist model of category learning. Psychological Review, 99, 22-44.
-
(1992)
Psychological Review
, vol.99
, pp. 22-44
-
-
Kruschke, J.K.1
-
49
-
-
0000854270
-
Covariance structure and convergence rate of the Gibbs sampler with various scans
-
Liu, J. S., Wong, W. H., & Kong, A. (1995). Covariance structure and convergence rate of the Gibbs sampler with various scans. Journal of the Royal Statistical Society B, 57, 157-169.
-
(1995)
Journal of the Royal Statistical Society B
, vol.57
, pp. 157-169
-
-
Liu, J.S.1
Wong, W.H.2
Kong, A.3
-
51
-
-
0001441372
-
Probable networks and plausible predictions - A review of practical Bayesian methods for supervised neural networks
-
MacKay, D. (1995). Probable networks and plausible predictions - A review of practical Bayesian methods for supervised neural networks. Network: Computation in Neural Systems, 6, 469-505.
-
(1995)
Network: Computation in Neural Systems
, vol.6
, pp. 469-505
-
-
MacKay, D.1
-
54
-
-
0003834557
-
-
San Francisco, CA: W. H. Freeman
-
Marr, D. (1982). Vision. San Francisco, CA: W. H. Freeman.
-
(1982)
Vision
-
-
Marr, D.1
-
57
-
-
44049116681
-
Connectionist learning of belief networks
-
Neal, R. M. (1992). Connectionist learning of belief networks. Artificial Intelligence, 56, 71-113.
-
(1992)
Artificial Intelligence
, vol.56
, pp. 71-113
-
-
Neal, R.M.1
-
58
-
-
0004087397
-
Probabilistic inference using Markov chain Monte Carlo methods
-
No. CRG-TR-93-1, University of Toronto
-
Neal, R. M. (1993). Probabilistic inference using Markov chain Monte Carlo methods (Tech. Rep. No. CRG-TR-93-1). University of Toronto.
-
(1993)
Tech. Rep
-
-
Neal, R.M.1
-
59
-
-
0002788893
-
A view EM algorithm that justifies incremental, sparse, and other variants
-
M. I. Jordan Ed, Cambridge, MA: MIT Press
-
Neal, R. M., & Hinton, G. E. (1998). A view EM algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan (Ed.), Learning in graphical models. Cambridge, MA: MIT Press.
-
(1998)
Learning in graphical models
-
-
Neal, R.M.1
Hinton, G.E.2
-
60
-
-
0000795171
-
The stochastic EM algorithm: Estimation and asymptotic results
-
Nielsen, S. F. (2000). The stochastic EM algorithm: Estimation and asymptotic results. Bernoulli, 6, 457-489.
-
(2000)
Bernoulli
, vol.6
, pp. 457-489
-
-
Nielsen, S.F.1
-
61
-
-
0346482651
-
The logical problem of language change
-
AI Lab, MIT, AI Memo-1516
-
Niyogi, P., & Berwick, R. C. (1995). The logical problem of language change (Tech. Rep.). AI Lab, MIT. (AI Memo-1516)
-
(1995)
Tech. Rep
-
-
Niyogi, P.1
Berwick, R.C.2
-
62
-
-
0030253104
-
A language learning model for finite parameter spaces
-
Niyogi, P., & Berwick, R. C. (1996). A language learning model for finite parameter spaces. Cognition, 61, 161-193.
-
(1996)
Cognition
, vol.61
, pp. 161-193
-
-
Niyogi, P.1
Berwick, R.C.2
-
63
-
-
0008203703
-
A dynamical systems model for language change
-
Niyogi, P., & Berwick, R. C. (1997a). A dynamical systems model for language change. Complex Systems, 11, 161-204.
-
(1997)
Complex Systems
, vol.11
, pp. 161-204
-
-
Niyogi, P.1
Berwick, R.C.2
-
64
-
-
53249105452
-
Evolutionary consequences of language learning
-
Niyogi, P., & Berwick, R. C. (1997b). Evolutionary consequences of language learning. Linguistics and Philosophy, 20, 697-719.
-
(1997)
Linguistics and Philosophy
, vol.20
, pp. 697-719
-
-
Niyogi, P.1
Berwick, R.C.2
-
65
-
-
0003781238
-
-
Cambridge, UK: Cambridge University Press
-
Norris, J. R. (1997). Markov chains. Cambridge, UK: Cambridge University Press.
-
(1997)
Markov chains
-
-
Norris, J.R.1
-
66
-
-
0022686961
-
Attention, similarity, and the identification-categorization relationship
-
Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General, 115, 39-57.
-
(1986)
Journal of Experimental Psychology: General
, vol.115
, pp. 39-57
-
-
Nosofsky, R.M.1
-
67
-
-
0023174102
-
Attention and learning processes in the identification and categorization of integral stimuli
-
Nosofsky, R. M. (1987). Attention and learning processes in the identification and categorization of integral stimuli. Journal of Experimental Psychology: Learning, Memory, and Cognition, 13, 87-108.
-
(1987)
Journal of Experimental Psychology: Learning, Memory, and Cognition
, vol.13
, pp. 87-108
-
-
Nosofsky, R.M.1
-
68
-
-
0035808560
-
Evolution of universal grammar
-
Nowak, M. A., Komarova, N. L., & Niyogi, P. (2001). Evolution of universal grammar. Science, 291, 114-118.
-
(2001)
Science
, vol.291
, pp. 114-118
-
-
Nowak, M.A.1
Komarova, N.L.2
Niyogi, P.3
-
69
-
-
0037030641
-
Computational and evolutionary aspects of language
-
Nowak, M. A., Komarova, N. L., & Niyogi, P. (2002). Computational and evolutionary aspects of language. Nature, 417, 611-617.
-
(2002)
Nature
, vol.417
, pp. 611-617
-
-
Nowak, M.A.1
Komarova, N.L.2
Niyogi, P.3
-
70
-
-
0034732306
-
The evolution of syntactic communication
-
Nowak, M. A., Plotkin, J. B., & Jansen, V. A. A. (2000). The evolution of syntactic communication. Nature, 404, 495-498.
-
(2000)
Nature
, vol.404
, pp. 495-498
-
-
Nowak, M.A.1
Plotkin, J.B.2
Jansen, V.A.A.3
-
71
-
-
0004253774
-
-
Oaksford, M, & Chater, N, Eds, Oxford: Oxford University Press
-
Oaksford, M., & Chater, N. (Eds.). (1998). Rational models of cognition. Oxford: Oxford University Press.
-
(1998)
Rational models of cognition
-
-
-
75
-
-
0000926886
-
Convergence rates of Markov chains
-
Rosenthal, J. S. (1995). Convergence rates of Markov chains. SIAM Review, 37, 387-405.
-
(1995)
SIAM Review
, vol.37
, pp. 387-405
-
-
Rosenthal, J.S.1
-
76
-
-
85039186189
-
-
Rumelhart, D., & McClelland, J. (1986). On learning the past tenses of English verbs. In J. McClelland, D. Rumelhart, & the PDP research group (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (2). Cambridge, MA: MIT Press.
-
Rumelhart, D., & McClelland, J. (1986). On learning the past tenses of English verbs. In J. McClelland, D. Rumelhart, & the PDP research group (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 2). Cambridge, MA: MIT Press.
-
-
-
-
79
-
-
0023223978
-
Towards a universal law of generalization for psychological science
-
Shepard, R. N. (1987). Towards a universal law of generalization for psychological science. Science, 237, 1317-1323.
-
(1987)
Science
, vol.237
, pp. 1317-1323
-
-
Shepard, R.N.1
-
80
-
-
0013103197
-
Conditions for convergence of Monte-Carlo EM sequences with an application to product diffusion modeling
-
Sherman, R. P., Ho, Y.-Y. K., & Dalal, S. R. (1999). Conditions for convergence of Monte-Carlo EM sequences with an application to product diffusion modeling. The Econometrics Journal, 2, 248-267.
-
(1999)
The Econometrics Journal
, vol.2
, pp. 248-267
-
-
Sherman, R.P.1
Ho, Y.-Y.K.2
Dalal, S.R.3
-
81
-
-
0344034206
-
Iterated learning: A framework for the emergence of language
-
Smith, K., Kirby, S., & Brighton, H. (2003). Iterated learning: A framework for the emergence of language. Artificial Life, 9, 371-386.
-
(2003)
Artificial Life
, vol.9
, pp. 371-386
-
-
Smith, K.1
Kirby, S.2
Brighton, H.3
-
83
-
-
0037564509
-
Inferring causal networks from observations and interventions
-
Steyvers, M., Tenenbaum, J. B., Wagenmakers, E. J., & Blum, B. (2003). Inferring causal networks from observations and interventions. Cognitive Science, 27, 453-489.
-
(2003)
Cognitive Science
, vol.27
, pp. 453-489
-
-
Steyvers, M.1
Tenenbaum, J.B.2
Wagenmakers, E.J.3
Blum, B.4
-
84
-
-
84950758368
-
The calculation of posterior distributions by data augmentation (with discussion)
-
Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
-
85
-
-
0035735751
-
Generalization, similarity, and Bayesian inference
-
Tenenbaum, J. B., & Griffiths, T. L. (2001). Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24, 629-641.
-
(2001)
Behavioral and Brain Sciences
, vol.24
, pp. 629-641
-
-
Tenenbaum, J.B.1
Griffiths, T.L.2
-
87
-
-
0034014181
-
An economist's perspective on probability matching
-
Vulkan, N. (2000). An economist's perspective on probability matching. Journal of Economic Surveys, 14, 101-118.
-
(2000)
Journal of Economic Surveys
, vol.14
, pp. 101-118
-
-
Vulkan, N.1
-
88
-
-
84950432017
-
A Monte-Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
-
Wei, G. C. G., & Tanner, M. A. (1990). A Monte-Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms. Journal of the American Statistical Assocation, 85, 699-704.
-
(1990)
Journal of the American Statistical Assocation
, vol.85
, pp. 699-704
-
-
Wei, G.C.G.1
Tanner, M.A.2
|