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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Journal ArticleDOI
Changes in exon–intron structure during vertebrate evolution affect the splicing pattern of exons
Sahar Gelfman,David Burstein,Osnat Penn,Anna Savchenko,Maayan Amit,Schraga Schwartz,Tal Pupko,Gil Ast +7 more
TL;DR: By calculating evolutionary rate shifts in exons, this work identified cis-acting regulatory sequences that became fixed during the transition from early vertebrates to mammals and revealed many features of exons that can discriminate alternative from constitutive exons.
Proceedings Article
Efficient learning of selective Bayesian network classifiers
Moninder Singh,Gregory Provan +1 more
TL;DR: Experimental results show the resulting classifiers are competitive with (or superior to) the best classifiers, based on both Bayesian networks and other formalisms, and that the computational time for learning and using these classifiers is relatively small.
Journal ArticleDOI
Multi-objective evolutionary feature selection for online sales forecasting
TL;DR: This work builds an accurate regression model for online sales forecasting obtained via a novel feature selection methodology composed by the application of the multi-objective evolutionary algorithm ENORA as search strategy in a wrapper method driven by the well-known regression model learner Random Forest.
Journal ArticleDOI
A new hybrid approach for intrusion detection using machine learning methods
TL;DR: It has been shown that the proposedIDS has high accuracy and a low false positive rates in all attack types.
Journal ArticleDOI
DWFS: A Wrapper Feature Selection Tool Based on a Parallel Genetic Algorithm
TL;DR: DWFS is a web-based tool that allows for efficient selection of features for a variety of problems and leads to a significant reduction of the number of features without sacrificing performance as compared to several widely used existing methods.
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.
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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.