001461360 000__ 04292cam\a2200649\i\4500
001461360 001__ 1461360
001461360 003__ OCoLC
001461360 005__ 20230503003349.0
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001461360 008__ 230313s2023\\\\si\a\\\\o\\\\\001\0\eng\d
001461360 019__ $$a1372624151
001461360 020__ $$a9789811984600$$q(electronic bk.)
001461360 020__ $$a9811984603$$q(electronic bk.)
001461360 020__ $$z981198459X
001461360 020__ $$z9789811984594
001461360 0247_ $$a10.1007/978-981-19-8460-0$$2doi
001461360 035__ $$aSP(OCoLC)1372501934
001461360 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dUKAHL$$dOCLCF
001461360 049__ $$aISEA
001461360 050_4 $$aQA76.623
001461360 08204 $$a006.3/1$$223/eng/20230313
001461360 24500 $$aGenetic programming theory and practice XIX /$$cLeonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf, editors.
001461360 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001461360 264_4 $$c©2023
001461360 300__ $$a1 online resource (xiv, 262 pages) :$$billustrations (chiefly color).
001461360 336__ $$atext$$btxt$$2rdacontent
001461360 337__ $$acomputer$$bc$$2rdamedia
001461360 338__ $$aonline resource$$bcr$$2rdacarrier
001461360 4901_ $$aGenetic and evolutionary computation
001461360 500__ $$aIncludes index.
001461360 5050_ $$aChapter 1. Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data -- Chapter 2. Correlation versus RMSE Loss Functions in Symbolic Regression Tasks -- Chapter 3. GUI-Based, Efficient Genetic Programming and AI Planning For Unity3D -- Chapter 4. Genetic Programming for Interpretable and Explainable Machine Learning -- Chapter 5. Biological Strategies ParetoGP Enables Analysis of Wide and Ill-Conditioned Data from Nonlinear Systems -- Chapter 6. GP-Based Generative Adversarial Models -- Chapter 7. Modelling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification through Inferential Knowledge -- Chapter 8. Life as a Cyber-Bio-Physical System -- Chapter 9. STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison -- Chapter 10. Evolving Complexity is Hard -- Chapter 11. ESSAY: Computers Are Useless ... They Only Give Us Answers.
001461360 506__ $$aAccess limited to authorized users.
001461360 520__ $$aThis book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this years book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.
001461360 588__ $$aDescription based on print version record.
001461360 650_0 $$aGenetic programming (Computer science)
001461360 655_0 $$aElectronic books.
001461360 7001_ $$aTrujillo, Leonardo,$$eeditor.
001461360 7001_ $$aWinkler, Stephan M.,$$eeditor.
001461360 7001_ $$aSilva, Sara,$$eeditor.
001461360 7001_ $$aBanzhaf, Wolfgang,$$d1955-$$eeditor.
001461360 77608 $$iPrint version:$$tGENETIC PROGRAMMING THEORY AND PRACTICE XIX.$$d[Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2023$$z981198459X$$w(OCoLC)1348923574
001461360 830_0 $$aGenetic and evolutionary computation series.
001461360 852__ $$bebk
001461360 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8460-0$$zOnline Access$$91397441.1
001461360 909CO $$ooai:library.usi.edu:1461360$$pGLOBAL_SET
001461360 980__ $$aBIB
001461360 980__ $$aEBOOK
001461360 982__ $$aEbook
001461360 983__ $$aOnline
001461360 994__ $$a92$$bISE