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Metalearning: Applications to Data Mining (Cognitive Technologies)

Pavel Brazdil, Christophe Giraud Carrier, Carlos Soares, Ricardo Vilalta




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 | #5154027 in Books |  Springer Berlin Heidelberg |  2008-10-22 | Original language:English | PDF # 1 |  9.30 x.80 x6.40l,.90 | File type: PDF | 176 pages

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||3 of 3 people found the following review helpful.| valuable contribution|By XY|A good overview of the state-of-the-art in metalearning for engineers and researchers already well-versed in machine learning. The book has almost 300 references.|1 of 1 people found the following review helpful.| The best introductory book for metalearning|By Dainis Boumber|This book is very well wr| ||From the reviews: |"There are many techniques available for machine learning from data … . the problem is: given a set of data, which of the learning systems should one use? The goal of this book is to initiate a study of this problem. … The mix

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 beco...

You easily download any file type for your device.Metalearning: Applications to Data Mining (Cognitive Technologies)   |  Pavel Brazdil, Christophe Giraud Carrier, Carlos Soares, Ricardo Vilalta. A good, fresh read, highly recommended.

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