Kronberger M (15 results)

Leinen. Condition: sehr Gut. Kein Schutzumschlag. S. 127. m. 61 Abb. auf Tafeln und 8 Tafeln mit Farbaufnahmen (illustrator).

weicher Einband. 54 S., Oktav, kartoniert, Klammerheftung. Sehr gut erhaltenes, ehemaliges Bibliotheksexemplar. Buchrücken unten Aufkleber, vorne innen sauberer Stempel. Reihe: Schriftenreihe Band 29; Inhalt: Einleitung; Wanderung: die Fakten; Wirtschaftliche und gesellschaftliche Probleme der Einwanderung; Die demographische Herausforderung; Einwanderungspolitik: Strategien und Einwände; Einwanderungspolitik: Steuerungsinstrumente. Sprache: Deutsch (unbesetzt) 101 gr.…

Condition: New.

Paperback. Condition: Brand New. 308 pages. 6.14x0.70x9.21 inches. In Stock.

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New. In English.

Hardback. Condition: New. Symbolic 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. Currently, the most prevalent learning algorithms for SR are based on genetic programming (GP), an evolutionary algorithm inspired from the well-known principles of natural selection. This book is an in-depth guide to GP for SR, discussing its advanced techniques, as well as examples of applications in science and engineering.The basic idea of GP is to evolve a population of solution candidates in an iterative, generational manner, by repeated application of selection, crossover, mutation, and replacement, thus allowing the model structure, coefficients, and input variables to be searched simultaneously. Given that explainability and interpretability are key elements for integrating humans into the loop of learning in AI, increasing the capacity for data scientists to understand internal algorithmic processes and their resultant models has beneficial implications for the learning process as a whole.This book represents a practical guide for industry professionals and students across a range of disciplines, particularly data science, engineering, and applied mathematics. Focused on state-of-the-art SR methods and providing ready-to-use recipes, this book is especially appealing to those working with empirical or semi-analytical models in science and engineering.…

Hardback. Condition: New. Symbolic 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. Currently, the most prevalent learning algorithms for SR are based on genetic programming (GP), an evolutionary algorithm inspired from the well-known principles of natural selection. This book is an in-depth guide to GP for SR, discussing its advanced techniques, as well as examples of applications in science and engineering.The basic idea of GP is to evolve a population of solution candidates in an iterative, generational manner, by repeated application of selection, crossover, mutation, and replacement, thus allowing the model structure, coefficients, and input variables to be searched simultaneously. Given that explainability and interpretability are key elements for integrating humans into the loop of learning in AI, increasing the capacity for data scientists to understand internal algorithmic processes and their resultant models has beneficial implications for the learning process as a whole.This book represents a practical guide for industry professionals and students across a range of disciplines, particularly data science, engineering, and applied mathematics. Focused on state-of-the-art SR methods and providing ready-to-use recipes, this book is especially appealing to those working with empirical or semi-analytical models in science and engineering.…

M. 1 Portr. 71 S. OU. Landmann 199, 1022. Enth. Gedichte u. Erinnerungen an St. George. Sprache: Deutsch 0 gr.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The authors are all affiliated with the University of Applied Sciences (UAS) Upper Austria.Gabriel Kronberger is professor for data engineering and business intelligence. His research interests are symbolic regression and machine .…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The authors are all affiliated with the University of Applied Sciences (UAS) Upper Austria.Gabriel Kronberger is professor for data engineering and business intelligence. His research interests are symbolic regression and machine .…

Condition: New. PRINT ON DEMAND.