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» On Optimal Learning Algorithms for Multiplicity Automata
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GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 5 months ago
MILA - Multilevel Immune Learning Algorithm
The biological immune system is an intricate network of specialized tissues, organs, cells, and chemical molecules. T-cell-dependent humoral immune response is one of the complex i...
Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumd...
IJON
2007
99views more  IJON 2007»
14 years 11 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
ICML
2008
IEEE
16 years 16 days ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICANN
2009
Springer
15 years 4 months ago
On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...
Toshihiko Matsuka, Hidehito Honda, Arieta Chouchou...
CEC
2010
IEEE
15 years 25 days ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi