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04284nam a22006255i 4500 |
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978-3-642-12148-7 |
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100402s2010 gw | s |||| 0|eng d |
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|a 9783642121487
|9 978-3-642-12148-7
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|a 10.1007/978-3-642-12148-7
|2 doi
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|d GrThAP
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
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|a COM004000
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|a 006.3
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|a Genetic Programming
|h [electronic resource] :
|b 13th European Conference, EuroGP 2010, Istanbul, Turkey, April 7-9, 2010. Proceedings /
|c edited by Anna Isabel Esparcia-Alcázar, Anikó Ekárt, Sara Silva, Stephen Dignum, A. Şima Uyar.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2010.
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|a XII, 336 p. 149 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6021
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|a Oral Presentations -- Genetic Programming for Classification with Unbalanced Data -- An Analysis of the Behaviour of Mutation in Grammatical Evolution -- Positional Effect of Crossover and Mutation in Grammatical Evolution -- Sub-tree Swapping Crossover and Arity Histogram Distributions -- Novelty-Based Fitness: An Evaluation under the Santa Fe Trail -- An Analysis of Genotype-Phenotype Maps in Grammatical Evolution -- Handling Different Categories of Concept Drifts in Data Streams Using Distributed GP -- An Indirect Approach to the Three-Dimensional Multi-pipe Routing Problem -- Phenotypic Diversity in Initial Genetic Programming Populations -- A Relaxed Approach to Simplification in Genetic Programming -- Unsupervised Problem Decomposition Using Genetic Programming -- GP-Fileprints: File Types Detection Using Genetic Programming -- A Many Threaded CUDA Interpreter for Genetic Programming -- Controlling Complex Dynamics with Artificial Biochemical Networks -- Geometric Differential Evolution on the Space of Genetic Programs -- Improving the Generalisation Ability of Genetic Programming with Semantic Similarity based Crossover -- Evolving Genes to Balance a Pole -- Solution-Locked Averages and Solution-Time Binning in Genetic Programming -- Enabling Object Reuse on Genetic Programming-Based Approaches to Object-Oriented Evolutionary Testing -- Analytic Solutions to Differential Equations under Graph-Based Genetic Programming -- Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data -- Posters -- Genetic Programming for Auction Based Scheduling -- Bandit-Based Genetic Programming -- Using Imaginary Ensembles to Select GP Classifiers -- Analysis of Building Blocks with Numerical Simplification in Genetic Programming -- Fast Evaluation of GP Trees on GPGPU by Optimizing Hardware Scheduling -- Ensemble Image Classification Method Based on Genetic Image Network -- Fine-Grained Timing Using Genetic Programming.
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|a Computer science.
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|a Computer communication systems.
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|a Computer programming.
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|a Computers.
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|a Algorithms.
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|a Artificial intelligence.
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|a Pattern recognition.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Computation by Abstract Devices.
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|a Algorithm Analysis and Problem Complexity.
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|a Pattern Recognition.
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|a Computer Communication Networks.
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|a Programming Techniques.
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|a Esparcia-Alcázar, Anna Isabel.
|e editor.
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|a Ekárt, Anikó.
|e editor.
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|a Silva, Sara.
|e editor.
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|a Dignum, Stephen.
|e editor.
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|a Uyar, A. Şima.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642121470
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 6021
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|u http://dx.doi.org/10.1007/978-3-642-12148-7
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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