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Viac informácií o knihe Automatic Design of Decision-Tree Induction Algorithms

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Anotácia knihy

Presents a detailed study of the major design components that constitute a top-down decision-tree induction algorithm, including aspects such as split criteria, stopping criteria, pruning, and the approaches for dealing with missing values. Whereas the strategy still employed nowadays is to use a 'generic' decision-tree induction algorithm regardless of the data, the authors argue on the benefits that a bias-fitting strategy could bring to decision-tree induction, in which the ultimate goal is the automatic generation of a decision-tree induction algorithm tailored to the application domain of interest. For such, they discuss how one can effectively discover the most suitable set of components of decision-tree induction algorithms to deal with a wide variety of applications through the paradigm of evolutionary computation, following the emergence of a novel field called hyper-heuristics.§§"Automatic Design of Decision-Tree Induction Algorithms" would be highly useful for machine learning and evolutionary computation students and researchers alike.§

Parametre knihy

Zaradenie knihy Knihy po anglicky Computing & information technology Computer science Artificial intelligence

• Celý názov: Automatic Design of Decision-Tree Induction Algorithms
• Autor: Rodrigo C. Barros, André C. P. L. F. de Carvalho, Alex Freitas
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 176
• EAN: 9783319142302
• ISBN: 3319142305
• ID: 09105213
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 2934 g
• Rozmery: 235 × 155 × 10 mm
• Dátum vydania: 04. February 2015

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