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» Representation of Functional Data in Neural Networks
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ALIFE
2006
15 years 4 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...
ICANN
2001
Springer
15 years 8 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 5 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
NN
2002
Springer
15 years 3 months ago
Dopamine-dependent plasticity of corticostriatal synapses
Knowledge of the effect of dopamine on corticostriatal synaptic plasticity has advanced rapidly over the last 5 years. We consider this new knowledge in relation to three factors ...
John N. J. Reynolds, Jeffery R. Wickens
FOCI
2007
IEEE
15 years 10 months ago
Realized through a Marriage with Modular-Networks
Abstract— This paper presents a new development of selforganizing maps (SOM), realized by combining them with the idea of a modular network. This we called a modular network SOM ...
Tetsuo Furukawa, Kazuhiro Tokunaga