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MINIMUM ERROR ENTROPY CLASSIFICATION
13-09-2012

Jorge Santos, docente do Departamento de Matemática (DMA) e coordenador do Laboratório de Engenharia Matemática (LEMA), acaba de publicar a obra Minimum Error Entropy Classification.

Desenvolvido em coautoria com Joaquim Marques de Sá, Luís Silva e Luís Alexandre, o livro está integrado na coleção Studies in Computational Intelligence, da editora Springer.

MINIMUM ERROR ENTROPY CLASSIFICATION
«This book explains the minimum error entropy (MEE) concept applied to data classification machines. Discusses theoretical results, offers a clustering algorithm using a MEE-like concept, and includes tests, evaluation experiments and comparative applications».

No prefácio, Jose C. Principe,  destaca a entrega e visão dos autores. «I will like to commend the authors for their hard work and vision because their hypothesis and results coalesced into a piece of focused and highly relevant material that will undoubtedly improve our understanding for the role of information theoretic descriptors in learning theory».

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Jorge Santos | DMA | LEMA