Wrappers for feature subset selection
Ron Kohavi,George H. John +1 more
TLDR
The wrapper method searches for an optimal feature subset tailored to a particular algorithm and a domain and compares the wrapper approach to induction without feature subset selection and to Relief, a filter approach tofeature subset selection.About:
This article is published in Artificial Intelligence.The article was published on 1997-12-01 and is currently open access. It has received 8610 citations till now. The article focuses on the topics: Feature selection & Minimum redundancy feature selection.read more
Citations
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Book ChapterDOI
On the use of variable complementarity for feature selection in cancer classification
TL;DR: An original filter approach for effective feature selection in classification tasks with a very large number of input variables based on a new information theoretic selection criterion: the double input symmetrical relevance (DISR).
Journal ArticleDOI
A Sensor System for Automatic Detection of Food Intake Through Non-Invasive Monitoring of Chewing
Edward Sazonov,Juan M. Fontana +1 more
TL;DR: A simple sensor system and related signal processing and pattern recognition methodologies to detect periods of food intake based on non-invasive monitoring of chewing and could lead to the development of a wearable sensor system to assess eating behaviors of individuals.
Journal ArticleDOI
A novel image retrieval model based on the most relevant features
TL;DR: The proposed model for content-based image retrieval (CBIR) which depends only on extracting the most relevant features according to a feature selection technique is providing a precise image retrieval in a short time.
Patent
Automatic determination of OLAP Cube dimensions
TL;DR: Means and a computerized method for determining variable dimensions for a multi-dimensional database table, whereby the database table also comprises at least one pre-defined measure dimension for storing values of one or more measure types as discussed by the authors.
Journal ArticleDOI
Biospectroscopy to metabolically profile biomolecular structure: a multistage approach linking computational analysis with biomarkers
Jemma G. Kelly,Júlio Trevisan,Andrew D. Scott,Paul L. Carmichael,Hubert M. Pollock,Pierre L. Martin-Hirsch,Francis Martin +6 more
TL;DR: A comparison of biomarkers/mechanistic knowledge determined from conventional approaches to biospectroscopy coupled with multivariate analysis often provides complementary answers and a novel approach for diagnosis of disease and cell biology.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Journal ArticleDOI
Classification and Regression Trees.
Book
C4.5: Programs for Machine Learning
TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Book
Applied Regression Analysis
Norman R. Draper,Harry Smith +1 more
TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
Journal ArticleDOI
Induction of Decision Trees
TL;DR: In this paper, an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail, is described, and a reported shortcoming of the basic algorithm is discussed.