Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642372124, 9783642372131

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Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_7 ◽

2013 ◽

pp. 60-69 ◽

Author(s):

Maria Semenkina ◽

Eugene Semenkin

Keyword(s):

Genetic Programming ◽

Programming Algorithm ◽

Classifier Ensembles

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Effective Rule-Based Multi-label Classification with Learning Classifier Systems

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_48 ◽

2013 ◽

pp. 466-476 ◽

Author(s):

Miltiadis Allamanis ◽

Fani A. Tzima ◽

Pericles A. Mitkas

Keyword(s):

Learning Classifier Systems ◽

Classifier Systems ◽

Learning Classifier

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Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_42 ◽

2013 ◽

pp. 406-416 ◽

Author(s):

Jana Tuckova ◽

Josef Vavrina ◽

Jan Sanda ◽

Martin Kyncl

Keyword(s):

The Self ◽

Self Organization ◽

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Can Two Hidden Layers Make a Difference?

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_4 ◽

2013 ◽

pp. 30-39 ◽

Author(s):

Věra Kůrková ◽

Marcello Sanguineti

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Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_34 ◽

2013 ◽

pp. 326-335 ◽

Author(s):

Mária Šimaľová

Keyword(s):

Rna Sequences ◽

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On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_29 ◽

2013 ◽

pp. 277-286 ◽

Author(s):

Marisa Figueiredo ◽

Bernardete Ribeiro ◽

Ana Maria de Almeida

Keyword(s):

Regularization Parameter ◽

Source Separation ◽

Parameter Selection ◽

Sparse Code ◽

Selection For ◽

Regularization Parameter Selection ◽

Electrical Source

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Generalized Information-Theoretic Measures for Feature Selection

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_20 ◽

2013 ◽

pp. 189-197 ◽

Author(s):

Davor Sluga ◽

Uros Lotric

Keyword(s):

Feature Selection ◽

Information Theoretic ◽

Generalized Information ◽

Information Theoretic Measures

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Synaptic Scaling Balances Learning in a Spiking Model of Neocortex

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_3 ◽

2013 ◽

pp. 20-29 ◽

Author(s):

Mark Rowan ◽

Samuel Neymotin

Keyword(s):

Synaptic Scaling ◽

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Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_47 ◽

2013 ◽

pp. 456-465 ◽

Author(s):

Stefania Monica ◽

Gianluigi Ferrari

Keyword(s):

Wireless Sensor Networks ◽

Particle Swarm Optimization ◽

Sensor Networks ◽

Particle Swarm ◽

Wireless Sensor ◽

Swarm Optimization

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Reinforcement Learning and Genetic Regulatory Network Reconstruction

Adaptive and Natural Computing Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37213-1_25 ◽

2013 ◽

pp. 236-245

Author(s):

Branko Šter ◽

Andrej Dobnikar

Keyword(s):

Reinforcement Learning ◽

Regulatory Network ◽

Network Reconstruction ◽

Genetic Regulatory Network

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