Journal ArticleDOI
Floating search methods in feature selection
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.About:
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.read more
Citations
More filters
Proceedings ArticleDOI
Large-scale feature selection using evolved neural networks
TL;DR: In this article, the synergy of neural networks and genetic algorithms was used to determine a near-optimal neural network for the classification of dark formations in oil spills and look-alikes.
Journal ArticleDOI
Correlation based feature selection method
TL;DR: Experiments conducted on several benchmark data sets prove with high statistical significance that the correlation-based feature selection method shortens computations compared to the pairwise featureselection method and produces classification errors that are not worse than those produced by existing methods.
Journal ArticleDOI
A hybrid ensemble-filter wrapper feature selection approach for medical data classification
TL;DR: In this article, a four-step hybrid ensemble feature selection algorithm has been introduced, where the dataset is partitioned using the cross-validation procedure, and in the filter step, various filter methods based on weighted scores were ensembled to generate a ranking of features, and thirdly sequential forward selection algorithm is utilized as a wrapper technique to obtain an optimal subset of features.
Journal ArticleDOI
Steganalytic Features for JPEG Compression-Based Perturbed Quantization
TL;DR: It is shown that JPEG-based PQ data hiding distorts linear dependencies of rows/columns of pixel values, and proposed features can be exploited within a simple classifier for the steganalysis of PQ.
Journal ArticleDOI
Plant phenotyping: a perspective
TL;DR: A review of methods used for phenotyping and understanding of abiotic stress (drought/cold) tolerance mechanisms in the context of dynamic challenges faced by plants during their life is provided.
References
More filters
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.
Journal ArticleDOI
A note on genetic algorithms for large-scale feature selection
W. Siedlecki,Jack Sklansky +1 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
On the effectiveness of receptors in recognition systems
T. Marill,D. Green +1 more
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
W. Siedlecki,Jack Sklansky +1 more
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.