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BMCBI
2006
146views more  BMCBI 2006»
14 years 12 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
BMCBI
2006
161views more  BMCBI 2006»
14 years 12 months ago
A novel approach to phylogenetic tree construction using stochastic optimization and clustering
Background: The problem of inferring the evolutionary history and constructing the phylogenetic tree with high performance has become one of the major problems in computational bi...
Ling Qin, Yixin Chen, Yi Pan, Ling Chen
BMCBI
2006
127views more  BMCBI 2006»
14 years 12 months ago
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks
Background: To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to c...
Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-...
CG
2006
Springer
14 years 12 months ago
Realtime automatic selection of good molecular views
The investigation of molecular structures often requires the use of graphics software to display different representations of the molecule of interest. Unfortunately, the commonly...
Pere-Pau Vázquez, Miquel Feixas, Mateu Sber...
CN
2006
163views more  CN 2006»
14 years 12 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona