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Metalearning: Applications to Data Mining (Cognitive Technologies)
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Review
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 mixture of detailed description and overview is well managed. The reader is able to see how the authors’ ideas and work fit into a larger framework. Graduate students looking for thesis topics should read this book." (J. P. E. Hodgson, ACM Computing Reviews, May, 2009)
29/12/2010
I'm a phd student in machine learning. I like this book because its high quality. The content is very easy to understand and with comprehensive references. Highly recommended if you are interested in different perspectives and approaches of metalearning.
29/01/2009
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.
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