東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Genetic programming theory and pract...

Riolo, Rick.

FindBook

Google Book

Amazon

博客來

Genetic programming theory and practice XII

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Genetic programming theory and practice XII/ edited by Rick Riolo, William P. Worzel, Mark Kotanchek.
其他題名:	Genetic programming theory and practice 12
其他作者:	Riolo, Rick.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xii, 182 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Genetic programming (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-16030-6
ISBN:	9783319160306 (electronic bk.)

Genetic programming theory and practice XII
Genetic programming theory and practice XII[electronic resource] /Genetic programming theory and practice 12edited by Rick Riolo, William P. Worzel, Mark Kotanchek. - Cham :Springer International Publishing :2015. - xii, 182 p. :ill., digital ;24 cm. - Genetic and evolutionary computation,1932-0167. - Genetic and evolutionary computation..

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.

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.

ISBN: 9783319160306 (electronic bk.)

Standard No.: 10.1007/978-3-319-16030-6doiSubjects--Topical Terms:

572479
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.3823

Genetic programming theory and practice XII
LDR:02798nam a2200349 a 4500 001 2007519
003 DE-He213
005 20160115105834.0
006 m d
007 cr nn 008maaau
008 160219s2015 gw s 0 eng d
020 $a 9783319160306 (electronic bk.)
020 $a 9783319160290 (paper)
024 7 $a 10.1007/978-3-319-16030-6 $2 doi
035 $a 978-3-319-16030-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.623
072 7 $a UYQ $2 bicssc
072 7 $a TJFM1 $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3823 $2 23
090 $a QA76.623 $b .G328 2015
245 0 0 $a Genetic programming theory and practice XII $h [electronic resource] / $c edited by Rick Riolo, William P. Worzel, Mark Kotanchek.
246 3 $a Genetic programming theory and practice 12
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 182 p. : $b ill., digital ; $c 24 cm.
490 1 $a Genetic and evolutionary computation, $x 1932-0167
505 0 $a 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 $a 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.
650 0 $a Genetic programming (Computer science) $3 572479
650 0 $a Artificial intelligence $3 693196
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Artificial Intelligence (incl. Robotics). $3 923876
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
650 2 4 $a Programming Techniques. $3 892496
700 1 $a Riolo, Rick. $3 899500
700 1 $a Worzel, William P. $3 2156373
700 1 $a Kotanchek, Mark. $3 2062543
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Genetic and evolutionary computation. $3 2062544
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-16030-6
950 $a Computer Science (Springer-11645)