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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Malaga, Spain, April 11-13, 2012, Proceedings: 7246 - Brossura
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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 Mįlaga, 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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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 Mįlaga, 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 10th European Conference, EvoBIO 2012, Mįlaga, Spain, April 11-13, 2012, Proceedings
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Springer-Verlag GmbH, 2012
ISBN 10: 3642290655
ISBN 13: 9783642290657
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fast track conference proceedings Unique visibility State of the art researchFast track conference proceedingsUnique visibilityState of the art researchThis book constitutes the refereed proceedings of the 1. Codice articolo 5055777
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, Evobio 2012, Malaga, Spain, April 11-13, 2012, Proceedings
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ISBN 10: 3642290655
ISBN 13: 9783642290657
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 10th European Conference, EvoBIO 2012, Mįlaga, Spain, April 11-13, 2012, Proceedings
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Springer, Berlin, Springer Berlin Heidelberg, Springer, 2012
ISBN 10: 3642290655
ISBN 13: 9783642290657
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Taschenbuch. Condizione: Neu. Neuware - 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 Mįlaga, 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. Codice articolo 9783642290657
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 10th European Conference, EvoBIO 2012, Mįlaga, Spain, April 11-13, 2012, ... (Lecture Notes in Computer Science, 7246)
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (Paperback)
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Paperback. Condizione: new. Paperback. 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 Malaga, 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. 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 Malaga, Spain, in April 2012 co-located with the Evo* 2012 events. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783642290657
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