-
1
-
-
7244229524
-
Synaptic computation
-
Abbott, L. F., & Regehr,W. G. (2004). Synaptic computation. Nature, 43, 796-803.
-
(2004)
Nature
, vol.43
, pp. 796-803
-
-
Abbott, L.F.1
Regehr, W.G.2
-
2
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
Allwein, E. L., Schapire, R. E., & Singer, Y. (2000). Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1, 113-141.
-
(2000)
Journal of Machine Learning Research
, vol.1
, pp. 113-141
-
-
Allwein, E.L.1
Schapire, R.E.2
Singer, Y.3
-
3
-
-
85162035281
-
The tradeoffs of large scale learning
-
J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Cambridge, MA: MIT Press
-
Bottou, L., & Bousquet, O. (2008). The tradeoffs of large scale learning. In J. C. Platt, D. Koller, Y. Singer, & S. Roweis (Eds.), Advances in neural information processing systems, 20 (pp. 161-168). Cambridge, MA: MIT Press.
-
(2008)
Advances in neural information processing systems
, vol.20
, pp. 161-168
-
-
Bottou, L.1
Bousquet, O.2
-
5
-
-
32544437023
-
Kernel methods and the exponential family
-
Canu, S., & Smola, A. (2005). Kernel methods and the exponential family. Neurocomputing, 69, 714-720.
-
(2005)
Neurocomputing
, vol.69
, pp. 714-720
-
-
Canu, S.1
Smola, A.2
-
6
-
-
84856442166
-
Conditional modulation of spike-timing dependent plasticity for olfactory learning
-
Cassenaer, S., & Laurent, G. (2012). Conditional modulation of spike-timing dependent plasticity for olfactory learning Nature, 482, 47-52.
-
(2012)
Nature
, vol.482
, pp. 47-52
-
-
Cassenaer, S.1
Laurent, G.2
-
7
-
-
77951969231
-
Training and testing low-degree polynomial data mappings via linear SVM
-
Chang, Y.-W., Hsieh, C.-J., Chang, K.-W., Ringgaard, M., & Lin, C.-J. (2010). Training and testing low-degree polynomial data mappings via linear SVM. Journal of Machine Learning Research, 11, 1471-1490.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 1471-1490
-
-
Chang, Y.-W.1
Hsieh, C.-J.2
Chang, K.-W.3
Ringgaard, M.4
Lin, C.-J.5
-
8
-
-
34247849152
-
Training a support vector machine in the primal
-
Chapelle, O. (2007). Training a support vector machine in the primal. Neural Computation, 19, 1155-1178.
-
(2007)
Neural Computation
, vol.19
, pp. 1155-1178
-
-
Chapelle, O.1
-
9
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
Crammer, K., & Singer, Y. (2001). On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2, 265-292.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
-
10
-
-
21944455810
-
The direct use of likelihood for significance testing
-
Dempster, A. P. (1997). The direct use of likelihood for significance testing. Stat. Comput., 7, 242-252.
-
(1997)
Stat. Comput.
, vol.7
, pp. 242-252
-
-
Dempster, A.P.1
-
12
-
-
0033281425
-
Large margin classification using the perceptron algorithm
-
Freund, Y., & Schapire, R. E. (1999). Large margin classification using the perceptron algorithm. Machine Learning, 37, 277-296.
-
(1999)
Machine Learning
, vol.37
, pp. 277-296
-
-
Freund, Y.1
Schapire, R.E.2
-
13
-
-
37549053317
-
Locally dynamic synaptic learning rules in pyramidal neuron dendrites
-
Harvey, C. D., & Svoboda, K. (2007). Locally dynamic synaptic learning rules in pyramidal neuron dendrites. Nature, 450, 1195-1200.
-
(2007)
Nature
, vol.450
, pp. 1195-1200
-
-
Harvey, C.D.1
Svoboda, K.2
-
14
-
-
0038439322
-
Mushroom body memoir: From maps to models
-
Heisemberg, M. (2003). Mushroom body memoir: From maps to models. Nat. Rev. Neurosci., 4, 266-275.
-
(2003)
Nat. Rev. Neurosci.
, vol.4
, pp. 266-275
-
-
Heisemberg, M.1
-
15
-
-
0036505670
-
A comparison of methods for multiclass support vector machines
-
Hsu, C.-W., & Lin, C.-J. (2002). A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks, 13, 415-425.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, pp. 415-425
-
-
Hsu, C.-W.1
Lin, C.-J.2
-
16
-
-
70249084937
-
Fast and robust learning by reinforcement signals: Explorations in the insect brain
-
Huerta, R., & Nowotny, T. (2009). Fast and robust learning by reinforcement signals: Explorations in the insect brain. Neural Computation, 21, 2123-2151.
-
(2009)
Neural Computation
, vol.21
, pp. 2123-2151
-
-
Huerta, R.1
Nowotny, T.2
-
17
-
-
3042616557
-
Learning classification in the olfactory system of insects
-
Huerta, R., Nowotny, T., Garcia-Sanchez, M., Abarbanel, H.D.I., & Rabinovich, M. I. (2004). Learning classification in the olfactory system of insects. Neural Computation, 16, 1601-1640.
-
(2004)
Neural Computation
, vol.16
, pp. 1601-1640
-
-
Huerta, R.1
Nowotny, T.2
Garcia-Sanchez, M.3
Abarbanel, H.D.I.4
Rabinovich, M.I.5
-
18
-
-
0000545946
-
Improvements to Platt's SMO algorithm for SVM classifier design
-
Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., & Murthy, C. (2001). Improvements to Platt's SMO algorithm for SVM classifier design. Neural Computation, 13, 637-650.
-
(2001)
Neural Computation
, vol.13
, pp. 637-650
-
-
Keerthi, S.S.1
Shevade, S.K.2
Bhattacharyya, C.3
Murthy, C.4
-
19
-
-
84863167693
-
Online learning with kernels
-
Kivinen, J., Smola, A. J., & Williamson, R. C. (2010). Online learning with kernels. IEEE Transactions on Signal Processing, 100, 1-12.
-
(2010)
IEEE Transactions on Signal Processing
, vol.100
, pp. 1-12
-
-
Kivinen, J.1
Smola, A.J.2
Williamson, R.C.3
-
20
-
-
0036832159
-
Olfactory network dynamics and the coding ofmultidimensional signals
-
Laurent, G. (2002). Olfactory network dynamics and the coding ofmultidimensional signals. Nat. Rev. Neurosci., 3, 884-895.
-
(2002)
Nat. Rev. Neurosci.
, vol.3
, pp. 884-895
-
-
Laurent, G.1
-
21
-
-
35148893484
-
A tutorial on energy-based learning
-
G. Bakir, T. Hofmann, B. Schölkopf, A. Smola, & B. Taskar (Eds.), Cambridge, MA: MIT Press
-
Lecun, Y., Chopra, S., Hadshell, R., Ranzato, M., & Jie, H.-F. (2006). A tutorial on energy-based learning. In G. Bakir, T. Hofmann, B. Schölkopf, A. Smola, & B. Taskar (Eds.), Predicting structured data. Cambridge, MA: MIT Press.
-
(2006)
Predicting structured data
-
-
Lecun, Y.1
Chopra, S.2
Hadshell, R.3
Ranzato, M.4
Jie, H.-F.5
-
22
-
-
2142775432
-
Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data
-
Lee, Y., Lin, Y., & Wahba, G. (2004). Multicategory support vector machines: Theory and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 99, 67-81.
-
(2004)
Journal of the American Statistical Association
, vol.99
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
23
-
-
9444269961
-
On the Bayes-risk consistency of regularized boosting methods
-
Lugosi, G., & Vayatis, N. (2004). On the Bayes-risk consistency of regularized boosting methods. Annals of Statistics, 32, 30-55.
-
(2004)
Annals of Statistics
, vol.32
, pp. 30-55
-
-
Lugosi, G.1
Vayatis, N.2
-
24
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Muller, K. R., Mika, S., Ratsch, G., Tsuda, K., & Schölkopf, B. (2001). An introduction to kernel-based learning algorithms. IEEE Transactions on Neural Networks, 12, 181-202.
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, pp. 181-202
-
-
Muller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Schölkopf, B.5
-
25
-
-
0000776754
-
On the problem of the most efficient tests of statistical hypotheses
-
Neyman, J., & Pearson, E. (1933). On the problem of the most efficient tests of statistical hypotheses. Phil. Trans. R. Soc. Lond. Ser. A, 231, 289-337.
-
(1933)
Phil. Trans. R. Soc. Lond. Ser. A
, vol.231
, pp. 289-337
-
-
Neyman, J.1
Pearson, E.2
-
26
-
-
28544440702
-
Selforganization in the olfactory system: One shot odor recognition in insects
-
Nowotny, T., Huerta, R., Abarbanel, H.D.I., & Rabinovich, M. I. (2005). Selforganization in the olfactory system: One shot odor recognition in insects. Biol. Cybern., 93, 436-446.
-
(2005)
Biol. Cybern.
, vol.93
, pp. 436-446
-
-
Nowotny, T.1
Huerta, R.2
Abarbanel, H.D.I.3
Rabinovich, M.I.4
-
27
-
-
0035380627
-
Generalization in interactive networks: The benefits of inhibitory competition and Hebbian learning
-
O'Reilly, R. C. (2001). Generalization in interactive networks: The benefits of inhibitory competition and Hebbian learning. Neural Computation, 13, 1199-1241.
-
(2001)
Neural Computation
, vol.13
, pp. 1199-1241
-
-
O'Reilly, R.C.1
-
28
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. Burges, & A. Smola (Eds.), Cambridge, MA: MIT Press
-
Platt, J. C. (1999a). Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. Burges, & A. Smola (Eds.), Advances in kernel methods: Support vector machines (pp. 185-208). Cambridge, MA: MIT Press.
-
(1999)
Advances in kernel methods: Support vector machines
, pp. 185-208
-
-
Platt, J.C.1
-
29
-
-
84898983292
-
Using analytic QP and sparseness to speed training of support vector machines
-
M. S. Kearns, S. A. Solla, & D. A. Cohn (Eds.), Cambridge, MA: MIT Press
-
Platt, J. C. (1999b). Using analytic QP and sparseness to speed training of support vector machines. In M. S. Kearns, S. A. Solla, & D. A. Cohn (Eds.), Advances in neural information processing Systems, 11 (pp. 557-563). Cambridge, MA: MIT Press.
-
(1999)
Advances in neural information processing Systems
, vol.11
, pp. 557-563
-
-
Platt, J.C.1
-
32
-
-
66349085039
-
Techniques for temporal detection of neural sensitivity to external stimulation
-
Rodriguez, F. B., & Huerta, R. (2009). Techniques for temporal detection of neural sensitivity to external stimulation. Biol. Cybern., 100, 289-297.
-
(2009)
Biol. Cybern.
, vol.100
, pp. 289-297
-
-
Rodriguez, F.B.1
Huerta, R.2
-
33
-
-
0347362917
-
Learning in spiking neural networks by reinforcement of stochastic synaptic transmission
-
Seung, H. S. (2003.) Learning in spiking neural networks by reinforcement of stochastic synaptic transmission. Neuron, 40, 1063-1073.
-
(2003)
Neuron
, vol.40
, pp. 1063-1073
-
-
Seung, H.S.1
-
34
-
-
34547964973
-
Pegasos: Primal estimated subgradient solver for SVM
-
Z. Ghahramani (Ed.), New York: ACM
-
Shalev-Shwartz, S., Singer, Y., & Srebro, N. (2007.) Pegasos: Primal estimated subgradient solver for SVM. In Z. Ghahramani (Ed.), Proceedings of the 24th international Conference on Machine Learning (pp. 807-814). New York: ACM.
-
(2007)
Proceedings of the 24th international Conference on Machine Learning
, pp. 807-814
-
-
Shalev-Shwartz, S.1
Singer, Y.2
Srebro, N.3
-
35
-
-
0026265517
-
Conditional withholding of proboscis extension in honeybees (Apis mellifera) during discriminative punishment
-
Smith, B. H., Abramson, C. I., & Tobin, T. R. (1991). Conditional withholding of proboscis extension in honeybees (Apis mellifera) during discriminative punishment. J. Comp. Psychol., 105, 345-356.
-
(1991)
J. Comp. Psychol.
, vol.105
, pp. 345-356
-
-
Smith, B.H.1
Abramson, C.I.2
Tobin, T.R.3
-
36
-
-
58549110412
-
Learning-based recognition and discrimination of floral odors
-
N. Dudareva, & E. Pichersky (Eds.), Boca Raton, FL: CRC Press
-
Smith, B. H., Wright, G. A., & Daly, K. C. (2005). Learning-based recognition and discrimination of floral odors. In N. Dudareva, & E. Pichersky (Eds.), Biology of floral scent (pp. 263-295). Boca Raton, FL: CRC Press.
-
(2005)
Biology of floral scent
, pp. 263-295
-
-
Smith, B.H.1
Wright, G.A.2
Daly, K.C.3
-
37
-
-
34249062309
-
On the consistency of multiclass classification methods
-
Tewari, A., & Bartlett, P. L. (2007). On the consistency of multiclass classification methods. Journal of Machine Learning Research, 8, 1007-1025.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1007-1025
-
-
Tewari, A.1
Bartlett, P.L.2
-
38
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T., & Altun, Y. (2005). Large margin methods for structured and interdependent output variables. Journal ofMachine Learning Research, 6, 1453-1484.
-
(2005)
Journal ofMachine Learning Research
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
|