Genetic Programming Theory and Practice XII (Record no. 55920)

000 -LEADER
fixed length control field 03546nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-16030-6
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111848.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150604s2015 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319160306
-- 978-3-319-16030-6
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Genetic Programming Theory and Practice XII
300 ## - PHYSICAL DESCRIPTION
Number of Pages XII, 182 p. 59 illus., 12 illus. in color.
490 1# - SERIES STATEMENT
Series statement Genetic and Evolutionary Computation,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Application of Machine-Learing Methods to Understand Gene Expression Regulation -- Identification of Novel Genetic Models of Glaucoma using the "Emergent" Genetic Programming-Based Artificial Intelligence System -- Inheritable Epigenetics in Genetic Programming -- SKGP: The Way of the Combinator -- Sequential Symbolic Regression with Genetic Programming -- Sliding Window Symbolic Regression for Detecting Changes of System Dynamics -- Extremely Accurate Symbolic Regression for Large Feature Problems -- How to Exploit Alignment in the Error Space: Two Different GP Models -- Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn? -- Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming System.
520 ## - SUMMARY, ETC.
Summary, etc These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: gene expression regulation, novel genetic models for glaucoma, inheritable epigenetics, combinators in genetic programming, sequential symbolic regression, system dynamics, sliding window symbolic regression, large feature problems, alignment in the error space, HUMIE winners, Boolean multiplexer function, and highly distributed genetic programming systems. Application areas include chemical process control, circuit design, financial data mining and bioinformatics. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
700 1# - AUTHOR 2
Author 2 Riolo, Rick.
700 1# - AUTHOR 2
Author 2 Worzel, William P.
700 1# - AUTHOR 2
Author 2 Kotanchek, Mark.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-16030-6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer programming.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Science.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithm Analysis and Problem Complexity.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Programming Techniques.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-0167
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-- ZDB-2-SCS

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