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124
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ICPR
2004
IEEE
16 years 4 months ago
Supervised Nonparametric Information Theoretic Classification
In this paper, supervised nonparametric information theoretic classification (ITC) is introduced. Its principle relies on the likelihood of a data sample of transmitting its class...
Cédric Archambeau, Jean-Philippe Thiran, Mi...
115
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NIPS
1993
15 years 4 months ago
Credit Assignment through Time: Alternatives to Backpropagation
Learning to recognize or predict sequences using long-term context has many applications. However, practical and theoretical problems are found in training recurrent neural networ...
Yoshua Bengio, Paolo Frasconi
160
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JMLR
2010
162views more  JMLR 2010»
14 years 10 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...
111
Voted
IWANN
2009
Springer
15 years 10 months ago
Efficient Exact Pattern-Matching in Proteomic Sequences
Abstract. This paper proposes a novel algorithm for complete exact patternmatching focusing the specificities of protein sequences (alphabet of 20 symbols) but, also highly efficie...
Sérgio A. D. Deusdado, Paulo M. M. Carvalho
139
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GECCO
2003
Springer
268views Optimization» more  GECCO 2003»
15 years 8 months ago
A Generalized Feedforward Neural Network Architecture and Its Training Using Two Stochastic Search Methods
Shunting Inhibitory Artificial Neural Networks (SIANNs) are biologically inspired networks in which the synaptic interactions are mediated via a nonlinear mechanism called shuntin...
Abdesselam Bouzerdoum, Rainer Mueller