Title

Login

Join

Book's by Ricardo Vilalta

Covers

List

Metalearning

Applications to Data Mining

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

Metalearning

Applications to Data Mining

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

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

182

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540732632

ISBN 13

9783540732631

Metalearning

Applications to Data Mining

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

Write a review Read reviews Take a Quiz Solve Book Puzzle

Metalearning

Applications to Data Mining

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

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.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

182

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540732624

ISBN 13

9783540732624