Genetic Programming Theory and Practice XIII (Record no. 53741)
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| 000 -LEADER | |
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| fixed length control field | 03858nam a22005895i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-34223-8 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421111159.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 161221s2016 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319342238 |
| -- | 978-3-319-34223-8 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | Genetic Programming Theory and Practice XIII |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XX, 262 p. 69 illus., 31 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Genetic and Evolutionary Computation, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming -- Learning Heuristics for Mining RNA Sequence-Structure Motifs -- Kaizen Programming for Feature Construction for Classification -- GP as if You Meant It: An Exercise for Mindful Practice -- nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star -- Highly Accurate Symbolic Regression with Noisy Training Data -- Using Genetic Programming for Data Science: Lessons Learned -- The Evolution of Everything (EvE) and Genetic Programming -- Lexicase selection for program synthesis: a Diversity Analysis -- Using Graph Databases to Explore the Dynamics of Genetic Programming Runs -- Predicting Product Choice with Symbolic Regression and Classification -- Multiclass Classification Through Multidimensional Clustering -- Prime-Time: Symbolic Regression takes its place in the Real World. |
| 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: multi-objective genetic programming, learning heuristics, Kaizen programming, Evolution of Everything (EvE), lexicase selection, behavioral program synthesis, symbolic regression with noisy training data, graph databases, and multidimensional clustering. It also covers several chapters on best practices and lesson learned from hands-on experience. Additional application areas include financial operations, genetic analysis, and predicting product choice. 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, W.P. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kotanchek, Mark. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Kordon, Arthur. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-319-34223-8 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2016. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations research. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Management science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational 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 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithm Analysis and Problem Complexity. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Operations Research, Management Science. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1932-0167 |
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| -- | ZDB-2-SCS |
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