{"product_id":"symbolic-regression-hardcover","title":"Symbolic Regression - Hardcover","description":"\u003cp\u003eby \u003cb\u003eGabriel Kronberger\u003c\/b\u003e (Author), \u003cb\u003eBogdan Burlacu\u003c\/b\u003e (Author), \u003cb\u003eMichael Kommenda\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e \u003c\/b\u003eSymbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the dependent variable without the need of taking assumptions about the model structure.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe authors are all affiliated with the University of Applied Sciences (UAS) Upper Austria.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGabriel Kronberger\u003c\/strong\u003e is professor for data engineering and business intelligence. His research interests are symbolic regression and machine learning as well as probabilistic graphical models.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBogdan Burlacu\u003c\/strong\u003e is a research assistant. His main focus is the study of genetic programming evolutionary dynamics in symbolic regression scenarios.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMichael Kommenda\u003c\/strong\u003e is a research assistant. He has been applying symbolic regression methods in various industrial projects and application scenarios.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eStephan M. Winkler\u003c\/strong\u003e is professor for medical and bioinformatics and head of the bioinformatics research group. His research interests despite bioinformatics include genetic programming, nonlinear model identification and machine learning.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMichael Affenzeller\u003c\/strong\u003e is professor for heuristic optimization and machine learning and head of the Heuristic and Evolutionary Algorithms Laboratory. Furthermore, he is the vice dean for research and overall head of the COMET project for heuristic optimization in production and logistics (HOPL).\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 308\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 16, 2024\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51773370597664,"sku":"9781138054813","price":187.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/a41b40ded8bab80afb15e8f376f7d08f_145481bd-f743-4ad4-be36-1f7a7c4b3889.webp?v=1780425387","url":"https:\/\/ebocreations.com\/products\/symbolic-regression-hardcover","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}