NECO 2000 - PDF Preprint Papers

NECO 2000

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NECO
2000

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Generalized Discriminant Analysis Using a Kernel Approach

12 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
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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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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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