Selection of relevant features and examples in machine learning
نویسندگان
چکیده
منابع مشابه
Selection of Relevant Features and Examples in Machine Learning Selecting Relevant Features and Examples
In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been made on these topics in both empirical and theoretical work in machine learning, and we present a ge...
متن کاملSelection of Relevant Features and Examples in Machine Learning
In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been made on these topics in both empirical and theoretical work in machine learning, and we present a ge...
متن کاملSelection of relevant features and examples in machine
In this survey, we review work in machine learning on methods for handling data sets containing large amounts of irrelevant information. We focus on two key issues: the problem of selecting relevant features, and the problem of selecting relevant examples. We describe the advances that have been made on these topics in both empirical and theoretical work in machine learning, and we present a ge...
متن کاملSelection of Relevant Features in Machine Learning
In this paper, we review the problem of selecting relevant features for use in machine learning. We describe this problem in terms of heuristic search through a space of feature sets, and we identify four dimensions along which approaches to the problem can vary. We consider recent work on feature selection in terms of this framework, then close with some challenges for future work in the area....
متن کاملSelection of Relevant Features in Machine LearningPat
In this paper, we review the problem of selecting relevant features for use in machine learning. We describe this problem in terms of heuristic search through a space of feature sets, and we identify four dimensions along which approaches to the problem can vary. We consider recent work on feature selection in terms of this framework, then close with some challenges for future work in the area....
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1997
ISSN: 0004-3702
DOI: 10.1016/s0004-3702(97)00063-5