Feature selection with neural networks
From MaRDI portal
Publication:4795100
DOI10.1016/S0167-8655(02)00081-8zbMath1010.68915OpenAlexW2006252838MaRDI QIDQ4795100
Antanas Verikas, M. Bacauskiene
Publication date: 20 February 2003
Published in: Pattern Recognition Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-8655(02)00081-8
Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)
Related Items (11)
Mining classification rules using rough sets and neural networks ⋮ Predictor output sensitivity and feature similarity-based feature selection ⋮ Mixture of Linear Models Co-supervised by Deep Neural Networks ⋮ A hybrid feature selection scheme for mixed attributes data ⋮ Fuzzy rough sets, and a granular neural network for unsupervised feature selection ⋮ Improved feature selection algorithm with fuzzy-rough sets on compact computational domain ⋮ MODULAR FEATURE SELECTION USING RELATIVE IMPORTANCE FACTORS ⋮ Polsom: a new method for multidimensional data visualization ⋮ An improvement on floating search algorithms for feature subset selection ⋮ Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification ⋮ Eliminating redundancy and irrelevance using a new MLP-based feature selection method
This page was built for publication: Feature selection with neural networks
