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ICML
2003
IEEE
14 years 9 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
BMCBI
2005
198views more  BMCBI 2005»
13 years 8 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
BIOSYSTEMS
2007
123views more  BIOSYSTEMS 2007»
13 years 9 months ago
Real time computation: Zooming in on population codes
Information processing in nervous systems intricately combines computation at the neuronal and network levels. Many computations may be envisioned as sequences of signal processin...
Olivier Rochel, Netta Cohen
NC
2011
219views Neural Networks» more  NC 2011»
12 years 11 months ago
Complexity-preserving simulations among three variants of accepting networks of evolutionary processors
In this paper we consider three variants of accepting networks of evolutionary processors. It is known that two of them are equivalent to Turing machines. We propose here a direct ...
Paolo Bottoni, Anna Labella, Florin Manea, Victor ...
ICANN
1997
Springer
14 years 29 days ago
Kernel Principal Component Analysis
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...