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Journal ArticleDOI

Floating search methods in feature selection

Pavel Pudil, +2 more
- 01 Nov 1994 - 
- Vol. 15, Iss: 11, pp 1119-1125
TLDR
Sequential search methods characterized by a dynamically changing number of features included or eliminated at each step, henceforth "floating" methods, are presented and are shown to give very good results and to be computationally more effective than the branch and bound method.
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This article is published in Pattern Recognition Letters.The article was published on 1994-11-01. It has received 3104 citations till now. The article focuses on the topics: Beam search & Jump search.

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Citations
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Journal ArticleDOI

Feature subset selection by genetic algorithms and estimation of distribution algorithms

TL;DR: An investigation for predicting the survival of cirrhotic patients treated with TIPS is carried out using a clinical database with 107 cases and 77 attributes and a new randomized algorithm inspired on the new EDA (estimation of distribution algorithm) paradigm has obtained the best average accuracy results.
Posted Content

Survey on Automated Machine Learning.

TL;DR: This survey summarizes the recent developments in academy and industry regarding AutoML and introduces a holistic problem formulation, approaches for solving various subproblems of AutoML, and provides an extensive empirical evaluation of the presented approaches on synthetic and real data.
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Identifying Computer Generated Images Based on Quaternion Central Moments in Color Quaternion Wavelet Domain

TL;DR: A novel forensics scheme for color image is proposed in color quaternion wavelet transform (CQWT) domain, which can provide more forensics information to identify the photograph and computer generated images by considering the quaternions magnitude and phase measures.
Journal ArticleDOI

Gene selection and classification using Taguchi chaotic binary particle swarm optimization

TL;DR: Experimental results show that this hybrid method effectively simplifies features selection by reducing the number of features needed, and could constitute a valuable tool for gene expression analysis in future studies.
Journal ArticleDOI

Chlorophyll fluorescence emission as a reporter on cold tolerance in Arabidopsis thaliana accessions

TL;DR: It is found that this method, by including the resolving power of several fluorescence features, can be well employed to detect cold tolerance already at mild sub-zero temperatures, and there is no need to freeze the screened plants to the largely damaging temperatures of around -15°C.
References
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Journal ArticleDOI

A Branch and Bound Algorithm for Feature Subset Selection

TL;DR: In this paper, a branch and bound-based feature subset selection algorithm is proposed to select the best subset of m features from an n-feature set without exhaustive search, which is computationally computationally unfeasible.
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A note on genetic algorithms for large-scale feature selection

TL;DR: The preliminary results suggest that GA is a powerful means of reducing the time for finding near-optimal subsets of features from large sets.
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A Direct Method of Nonparametric Measurement Selection

TL;DR: A direct method of measurement selection is proposed to determine the best subset of d measurements out of a set of D total measurements, using a nonparametric estimate of the probability of error given a finite design sample set.
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On the effectiveness of receptors in recognition systems

TL;DR: Some of the theoretical problems encountered in trying to determine a more formal measure of the effectiveness of a set of tests are discussed; a measure which might be a practical substitute for the empirical evaluation.
Journal ArticleDOI

On automatic feature selection

TL;DR: In this paper, a review of feature selection for multidimensional pattern classification is presented, and the potential benefits of Monte Carlo approaches such as simulated annealing and genetic algorithms are compared.
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