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2012

Journal Articles

Leiva-Murillo, Jose M; Artés-Rodríguez, Antonio

Information-Theoretic Linear Feature Extraction Based on Kernel Density Estimators: A Review Journal Article

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 42 (6), pp. 1180–1189, 2012, ISSN: 1094-6977.

Abstract | Links | BibTeX | Tags: Bandwidth, Density, detection theory, Entropy, Estimation, Feature extraction, Feature extraction (FE), information theoretic linear feature extraction, information theory, information-theoretic learning (ITL), Kernel, Kernel density estimation, kernel density estimators, Machine learning

2007

Journal Articles

Leiva-Murillo, Jose M; Artés-Rodríguez, Antonio

Maximization of Mutual Information for Supervised Linear Feature Extraction Journal Article

IEEE Transactions on Neural Networks, 18 (5), pp. 1433–1441, 2007, ISSN: 1045-9227.

Abstract | Links | BibTeX | Tags: Algorithms, Artificial Intelligence, Automated, component-by-component gradient-ascent method, Computer Simulation, Data Mining, Entropy, Feature extraction, gradient methods, gradient-based entropy, Independent component analysis, Information Storage and Retrieval, information theory, Iron, learning (artificial intelligence), Linear discriminant analysis, Linear Models, Mutual information, Optimization methods, Pattern recognition, Reproducibility of Results, Sensitivity and Specificity, supervised linear feature extraction, Vectors