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Evolutionary Computation Machine Learning And Data Mining In Bioinformatics 10th European Conference Evobio 2012 Mlaga Spain April 1113 2012 Proceedings 1st Edition Timmy Manning

  • SKU: BELL-4141676
Evolutionary Computation Machine Learning And Data Mining In Bioinformatics 10th European Conference Evobio 2012 Mlaga Spain April 1113 2012 Proceedings 1st Edition Timmy Manning
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Evolutionary Computation Machine Learning And Data Mining In Bioinformatics 10th European Conference Evobio 2012 Mlaga Spain April 1113 2012 Proceedings 1st Edition Timmy Manning instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 5.62 MB
Pages: 255
Author: Timmy Manning, Paul Walsh (auth.), Mario Giacobini, Leonardo Vanneschi, William S. Bush (eds.)
ISBN: 9783642290664, 3642290663
Language: English
Year: 2012
Edition: 1

Product desciption

Evolutionary Computation Machine Learning And Data Mining In Bioinformatics 10th European Conference Evobio 2012 Mlaga Spain April 1113 2012 Proceedings 1st Edition Timmy Manning by Timmy Manning, Paul Walsh (auth.), Mario Giacobini, Leonardo Vanneschi, William S. Bush (eds.) 9783642290664, 3642290663 instant download after payment.

This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events.
The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

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