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Results:
1-22
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Results: 22
Authors:
Barlow, HB
Citation: Hb. Barlow, Unsupervised learning, COMPUT NEUR, 1999, pp. 1-17
Authors:
Linsker, R
Citation: R. Linsker, Local synaptic learning rules suffice to maximize mutual information in a linear network, COMPUT NEUR, 1999, pp. 19-30
Authors:
Atick, JJ
Redlich, AN
Citation: Jj. Atick et An. Redlich, Convergent algorithm for sensory receptive field development, COMPUT NEUR, 1999, pp. 31-46
Authors:
Zhang, KC
Sereno, MI
Sereno, ME
Citation: Kc. Zhang et al., Emergence of position-independent detectors of sense of rotation and dilation with Hebbian learning: An analysis, COMPUT NEUR, 1999, pp. 47-62
Authors:
Foldiak, P
Citation: P. Foldiak, Learning invariance from transformation sequences, COMPUT NEUR, 1999, pp. 63-69
Authors:
Stone, JV
Citation: Jv. Stone, Learning perceptually salient visual parameters using spatiotemporal smoothness constraints, COMPUT NEUR, 1999, pp. 71-100
Authors:
Field, DJ
Citation: Dj. Field, What is the goal of sensory coding?, COMPUT NEUR, 1999, pp. 101-143
Authors:
Bell, AJ
Sejnowski, TJ
Citation: Aj. Bell et Tj. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, COMPUT NEUR, 1999, pp. 145-175
Authors:
Amari, S
Citation: S. Amari, Natural gradient works efficiently in learning, COMPUT NEUR, 1999, pp. 177-202
Authors:
Hyvarinen, A
Oja, E
Citation: A. Hyvarinen et E. Oja, A fast fixed-point algorithm for independent component analysis, COMPUT NEUR, 1999, pp. 203-212
Authors:
Intrator, N
Citation: N. Intrator, Feature extraction using an unsupervised neural network, COMPUT NEUR, 1999, pp. 213-222
Authors:
Becker, S
Hinton, GE
Citation: S. Becker et Ge. Hinton, Learning mixture models of spatial coherence, COMPUT NEUR, 1999, pp. 223-233
Authors:
Yuille, AL
Smirnakis, SM
Xu, L
Citation: Al. Yuille et al., Bayesian self-organization driven by prior probability distributions, COMPUT NEUR, 1999, pp. 235-248
Authors:
Barlow, HB
Kaushal, TP
Mitchison, GJ
Citation: Hb. Barlow et al., Finding Minimum Entropy Codes, COMPUT NEUR, 1999, pp. 249-260
Authors:
Zemel, RS
Hinton, GE
Citation: Rs. Zemel et Ge. Hinton, Learning population codes by minimizing description length, COMPUT NEUR, 1999, pp. 261-276
Authors:
Dayan, P
Hinton, GE
Neal, RM
Zemel, RS
Citation: P. Dayan et al., The Helmholtz machine, COMPUT NEUR, 1999, pp. 277-292
Authors:
Neal, RM
Dayan, P
Citation: Rm. Neal et P. Dayan, Factor analysis using delta-rule wake-sleep learning, COMPUT NEUR, 1999, pp. 293-315
Authors:
Kambhatla, N
Leen, TK
Citation: N. Kambhatla et Tk. Leen, Dimension reduction by local principal component analysis, COMPUT NEUR, 1999, pp. 317-340
Authors:
Platt, J
Citation: J. Platt, A resource-allocating network for function interpolation, COMPUT NEUR, 1999, pp. 341-353
Authors:
Gold, S
Rangarajan, A
Mjolsness, E
Citation: S. Gold et al., Learning with preknowledge: Clustering with point and graph matching distance measures, COMPUT NEUR, 1999, pp. 355-372
Authors:
Konen, W
von der Malsburg, C
Citation: W. Konen et C. Von Der Malsburg, Learning to generalize from single examples in the dynamic link architecture, COMPUT NEUR, 1999, pp. 373-389
Citation: Unsupervised learning: Foundations of neural computation - Introduction, COMPUT NEUR, 1999, pp. VII-XVI
Risultati:
1-22
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