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
A literature review on the application of evolutionary computing to credit scoring
TL;DR: The aim of this paper is to summarize the most recent developments in the application of evolutionary algorithms to credit scoring by means of a thorough review of scientific articles published during the period 2000–2012.
Journal ArticleDOI
Classification and knowledge discovery in protein databases
TL;DR: The experimental results show that in many cases ensembles of logistic regression classifiers may outperform more expressive models due to their robustness to noise and low sample density in a high-dimensional feature space and ensemble of neural networks may be the best solution for large datasets.
BookDOI
Machine Learning: ECML 2000
TL;DR: This talk describes how information about the search process can be taken into account when evaluating hypotheses, and how the expected generalization error of a hypothesis is computed as a function of the search steps leading to it.
Journal ArticleDOI
Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data
TL;DR: A new FR algorithm, termed as class-dependent density-based feature elimination (CDFE), for binary data sets, is proposed and theoretical analysis shows that CDFE computes the weights, used for feature ranking, more efficiently as compared to the mutual information measure.
Journal ArticleDOI
Automated microscopic image analysis for leukocytes identification: A survey
Mukesh Saraswat,Karm Veer Arya +1 more
TL;DR: In this review, this work has categorized, evaluated, and discussed recently developed methods for leukocyte identification, and found their constraints.
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.