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An Introduction to Feature Extraction - ClopiNet

An Introduction to Feature ExtractionIsabelle Guyon1and Andr e Elisseeff21 ClopiNet , 955 Creston Rd., Berkeley, CA 94708, Research GmbH, Z urich Research Laboratory, S aumerstrasse 4, CH-8803R uschlikon, chapter introduces the reader to the various aspects of Feature extractioncovered in this book. Section1reviews definitions and notations and proposesa unified view of the Feature Extraction problem. Section2is an overview ofthe methods and results presented in the book, emphasizing novel contribu-tions. Section3provides the reader with an entry point in the field of featureextraction by showing small revealing examples and describing simple but ef-fective algorithms. Finally, Section4introduces a more theoretical formalismand points to directions of research and open Feature Extraction BasicsIn this section, we present key notions that will be necessary to understandthe first part of the book and we synthesize different notions that will be seenseparately later Predictive modelingThis book is concerned with problems of predictive modeling or supervisedmachine learning .

Such methods involve the predictor as part of the selection process. Wrappers utilize a learning machine as a“black box”to score subsets of features accord-ing to their predictive power. Embedded methods perform feature selection in the process of training and are usually specific to given learning machines.

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