國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Genetic programming theory and pract...

(1998 :)

Genetic programming theory and practice XVI

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genetic programming theory and practice XVIedited by Wolfgang Banzhaf, Lee Spector, Leigh Sheneman.
其他題名:	Genetic programming theory and practice 16
其他作者:	Banzhaf, Wolfgang.
團體作者:
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xxi, 234 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Genetic programming (Computer science)
電子資源:	https://doi.org/10.1007/978-3-030-04735-1
ISBN:	9783030047351$q(electronic bk.)

Genetic programming theory and practice XVI
Genetic programming theory and practice XVI[electronic resource] /Genetic programming theory and practice 16edited by Wolfgang Banzhaf, Lee Spector, Leigh Sheneman. - Cham :Springer International Publishing :2019. - xxi, 234 p. :ill., digital ;24 cm. - genetic and evolutionary computation,1932-0167. - genetic and evolutionary computation..

1 Exploring Genetic Programming Systems with MAP-Elites -- 2 The Evolutionary Buffet Method -- 3 Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial -- 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification -- 5 Cluster Analysis of a Symbolic Regression Search Space -- 6 What else is in an evolved name? Exploring evolvable specificity with SignalGP -- Lexicase Selection Beyond Genetic Programming -- 8 Evolving developmental programs that build neural networks for solving multiple problems -- 9 The Elephant in the Room - Towards the Application of Genetic Programming to Automatic Programming -- 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal -- 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.

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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. 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: 9783030047351$q(electronic bk.)

Standard No.: 10.1007/978-3-030-04735-1doiSubjects--Topical Terms:

206263
Genetic programming (Computer science)

LC Class. No.: QA76.623

Dewey Class. No.: 006.31

Genetic programming theory and practice XVI
LDR:02954nmm a2200349 a 4500 001 555210
003 DE-He213
005 20190123131000.0
006 m d
007 cr nn 008maaau
008 191121s2019 gw s 0 eng d
020 $a 9783030047351$q(electronic bk.)
020 $a 9783030047344$q(paper)
024 7 $a 10.1007/978-3-030-04735-1 $2 doi
035 $a 978-3-030-04735-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.623
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a QA76.623 $b .W926 2018
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Genetic programming theory and practice XVI $h [electronic resource] / $c edited by Wolfgang Banzhaf, Lee Spector, Leigh Sheneman.
246 3 $a Genetic programming theory and practice 16
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxi, 234 p. : $b ill., digital ; $c 24 cm.
490 1 $a genetic and evolutionary computation, $x 1932-0167
505 0 $a 1 Exploring Genetic Programming Systems with MAP-Elites -- 2 The Evolutionary Buffet Method -- 3 Emergent Policy Discovery for Visual Reinforcement Learning through Tangled Program Graphs: A Tutorial -- 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification -- 5 Cluster Analysis of a Symbolic Regression Search Space -- 6 What else is in an evolved name? Exploring evolvable specificity with SignalGP -- Lexicase Selection Beyond Genetic Programming -- 8 Evolving developmental programs that build neural networks for solving multiple problems -- 9 The Elephant in the Room - Towards the Application of Genetic Programming to Automatic Programming -- 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal -- 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.
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: evolving developmental programs for neural networks solving multiple problems, tangled program, transfer learning and outlier detection using GP, program search for machine learning pipelines in reinforcement learning, automatic programming with GP, new variants of GP, like SignalGP, variants of lexicase selection, and symbolic regression and classification techniques. The volume includes several chapters on best practices and lessons learned from hands-on experience. 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 206263
650 0 $a Artificial intelligence $3 252958
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Banzhaf, Wolfgang. $3 467016
700 1 $a Spector, Lee. $3 837272
700 1 $a Sheneman, Leigh. $3 837273
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a genetic and evolutionary computation. $3 837274
856 4 0 $u https://doi.org/10.1007/978-3-030-04735-1
950 $a Computer Science (Springer-11645)