Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the most appropriate model in an efficient way. Metalearning provides one such methodology that allows systems to become more effective through experience. This book discusses several approaches to obtaining knowledge concerning the performance of machine learning and data mining algorithms. It shows how this knowledge can be reused to select, combine, compose and adapt both algorithms and models to yield faster, more effective solutions to data mining problems. It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. The book will be of interest to researchers and graduate students in the areas of machine learning, data mining and artificial intelligence.
Product Identifiers
Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783540732624
eBay Product ID (ePID)
95730024
Product Key Features
Author
Pavel Brazdil, Christophe Giraud Carrier, Ricardo Vilalta, Carlos Soares
Publication Name
Metalearning: Applications to Data Mining
Format
Hardcover
Language
English
Subject
Computer Science
Publication Year
2008
Type
Textbook
Number of Pages
176 Pages
Dimensions
Item Height
235mm
Item Width
155mm
Item Weight
459g
Additional Product Features
Title_Author
Ricardo Vilalta, Christophe Giraud Carrier, Carlos Soares, Pavel Brazdil
Series Title
Cognitive Technologies
Country/Region of Manufacture
Germany
Best Selling in Adult Learning & University
Current slide {CURRENT_SLIDE} of {TOTAL_SLIDES}- Best Selling in Adult Learning & University