Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science
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9783642011832, 9783642011849

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Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_12 ◽

2009 ◽

pp. 128-139 ◽

Cited By ~ 23

Author(s):

Ajay Kumar Tanwani ◽

Jamal Afridi ◽

M. Zubair Shafiq ◽

Muddassar Farooq

Keyword(s):

Machine Learning ◽

Learning Scheme

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Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_5 ◽

2009 ◽

pp. 44-55 ◽

Cited By ~ 12

Author(s):

Cristian Andrés Gallo ◽

Jessica Andrea Carballido ◽

Ignacio Ponzoni

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Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_4 ◽

2009 ◽

pp. 37-43

Author(s):

Glennie Helles

Keyword(s):

Genetic Algorithm ◽

Drosophila Melanogaster

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Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_3 ◽

2009 ◽

pp. 25-36 ◽

Cited By ~ 1

Author(s):

Georg Hinselmann ◽

Andreas Jahn ◽

Nikolas Fechner ◽

Andreas Zell

Keyword(s):

Chemical Compounds ◽

Kernel Machines ◽

Toxicity Prediction

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Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_13 ◽

2009 ◽

pp. 140-151 ◽

Cited By ~ 2

Author(s):

Pedro Evangelista ◽

Isabel Rocha ◽

Eugénio C. Ferreira ◽

Miguel Rocha

Keyword(s):

Metabolic Engineering ◽

Dynamic Models ◽

Strain Optimization

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A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_15 ◽

2009 ◽

pp. 164-175 ◽

Cited By ~ 14

Author(s):

Jean-Michel Richer ◽

Adrien Goëffon ◽

Jin-Kao Hao

Keyword(s):

Maximum Parsimony ◽

Memetic Algorithm ◽

Phylogenetic Reconstruction

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Clustering Metagenome Short Reads Using Weighted Proteins

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_14 ◽

2009 ◽

pp. 152-163 ◽

Cited By ~ 3

Author(s):

Gianluigi Folino ◽

Fabio Gori ◽

Mike S. M. Jetten ◽

Elena Marchiori

Keyword(s):

Short Reads

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Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_8 ◽

2009 ◽

pp. 80-91 ◽

Cited By ~ 7

Author(s):

Stephen D. Turner ◽

Marylyn D. Ritchie ◽

William S. Bush

Keyword(s):

Neural Networks ◽

Fitness Landscape ◽

Input Variables

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A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_11 ◽

2009 ◽

pp. 116-127 ◽

Cited By ~ 19

Author(s):

Daniela Besozzi ◽

Paolo Cazzaniga ◽

Giancarlo Mauri ◽

Dario Pescini ◽

Leonardo Vanneschi

Keyword(s):

Genetic Algorithms ◽

Parameter Estimation ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Biochemical Systems

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Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01184-9_9 ◽

2009 ◽

pp. 92-103 ◽

Cited By ~ 19

Author(s):

Casey S. Greene ◽

Jason M. Gilmore ◽

Jeff Kiralis ◽

Peter C. Andrews ◽

Jason H. Moore

Keyword(s):

Ant Colony Optimization ◽

Human Disease ◽

Expert Knowledge ◽

Ant Colony

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets

Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform

Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm

Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines

Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective

A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony

Clustering Metagenome Short Reads Using Weighted Proteins

Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks

A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems

Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - Lecture Notes in Computer Science
Latest Publications