NECO 2000 - PDF Preprint Papers

NECO 2000

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NECO
2000

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Generalized Discriminant Analysis Using a Kernel Approach

13 years 11 months ago

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We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...

G. Baudat, Fatiha Anouar

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Id	Views	Title	Status

1	190	Generalized Discriminant Analysis Using a Kernel Approach	claim
2	133	Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies	claim
3	113	Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks	claim
4	95	Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex	claim
5	88	Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions	claim
6	88	Analytical Model for the Effects of Learning on Spike Count Distributions	claim
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8	72	Reinforcement Learning in Continuous Time and Space	claim
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11	68	Separating Style and Content with Bilinear Models	claim
12	67	Formation of Direction Selectivity in Natural Scene Environments	claim
13	67	Learning Chaotic Attractors by Neural Networks	claim
14	67	Do Simple Cells in Primary Visual Cortex Form a Tight Frame?	claim
15	66	A Signal-Flow-Graph Approach to On-line Gradient Calculation	claim
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21	56	The Minimal Local-Asperity Hypothesis of Early Retinal Lateral Inhibition	claim
22	56	Representation of Concept Lattices by Bidirectional Associative Memories	claim
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35	44	Expanding NEURON's Repertoire of Mechanisms with NMODL	claim
36	38	Generalization and Selection of Examples in Feedforward Neural Networks	claim

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