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» Controlling complexity of RBF networks by similarity
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ICANN
2009
Springer
13 years 9 months ago
Learning Complex Population-Coded Sequences
The sequential structure of complex actions is apparently at an abstract “cognitive” level in several regions of the frontal cortex, independent of the control of the immediate...
Kiran V. Byadarhaly, Mithun Perdoor, Suresh Vasa, ...
ACCV
2006
Springer
13 years 6 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
GECCO
2007
Springer
131views Optimization» more  GECCO 2007»
13 years 10 months ago
Using feedback to regulate gene expression in a developmental control architecture
We present what we believe is the first attempt to physically reconstruct the exploratory mechanism of genetic regulatory networks. Feedback plays a crucial role during developme...
Kester Clegg, Susan Stepney, Tim Clarke
ICANN
2005
Springer
13 years 10 months ago
Information Visualization for Knowledge Extraction in Neural Networks
In this paper, a user-centred innovative method of knowledge extraction in neural networks is described. This is based on information visualization techniques and tools for artific...
Liz J. Stuart, Davide Marocco, Angelo Cangelosi
INFOCOM
2000
IEEE
13 years 9 months ago
On Service Models for Multicast Transmission in Heterogeneous Environments
– We examine in this paper the tradeoff between application complexity, network complexity, and network efficiency. We argue that the design of the current Internet reflects a ...
Matthias Grossglauser, Jean-Chrysostome Bolot