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» Convergence of a Neural Network Classifier
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ICMLA
2003
13 years 10 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
14 years 2 months ago
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles
Abstract. In many real-world applications of evolutionary computation, it is essential to reduce the number of fitness evaluations. To this end, computationally efficient models c...
Yaochu Jin, Bernhard Sendhoff
IJON
2007
85views more  IJON 2007»
13 years 9 months ago
Desynchronized stable states in diluted neural networks
The dynamical properties of a diluted fully inhibitory network of pulse-coupled neurons are investigated. Depending on the coupling strength, two different phases can be observed....
Rüdiger Zillmer, Roberto Livi, Antonio Politi...
ISCI
2008
95views more  ISCI 2008»
13 years 8 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
14 years 2 months ago
Understand Corporate Rationales for Engaging in Reverse Stock Splits - A Data Mining Application
There has been much written on the individual topics of bankruptcy prediction, corporate performance, and reverse stock splits. However, there is little research into the relation...
Melody Y. Kiang, Dorothy M. Fisher, Steve A. Fishe...