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Leiva-Murillo, Jose; 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)