Advances In Minimum Description Length


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Advances in Minimum Description Length


Advances in Minimum Description Length

Author: Peter D. Grünwald

language: en

Publisher: MIT Press

Release Date: 2005


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A source book for state-of-the-art MDL, including an extensive tutorial and recent theoretical advances and practical applications in fields ranging from bioinformatics to psychology.

The Minimum Description Length Principle


The Minimum Description Length Principle

Author: Peter D. Grünwald

language: en

Publisher: MIT Press

Release Date: 2007


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This introduction to the MDL Principle provides a reference accessible to graduate students and researchers in statistics, pattern classification, machine learning, and data mining, to philosophers interested in the foundations of statistics, and to researchers in other applied sciences that involve model selection.

Advances in Natural Computation


Advances in Natural Computation

Author: Licheng Jiao

language: en

Publisher: Springer

Release Date: 2006-09-28


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This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.