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Theoretical and experimental DNA computation
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ISBN: 3540657738 9783540657736 3642085040 9786610306473 1280306475 3540281312 Year: 2005 Publisher: Berlin Springer

Molecular imaging: basic principles and applications in biomedical research
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ISBN: 1860945287 Year: 2005 Publisher: London Imperial College Press

Information and communication technology for peace
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ISBN: 1423754883 9781423754886 9211045568 9789211045567 Year: 2005 Publisher: New York, N.Y. United Nations ICT Task Force

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Report from ICT4Peace project published by the UN ICT Task Force.

Information and communication technology for peace : the role of ICT in preventing, responding to and recovering from conflict.
Authors: --- --- --- --- --- et al.
ISBN: 9211045568 Year: 2005 Volume: 11 Publisher: New York (N.Y.) United Nations information and communication technologies task force


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Programmeren in Java met BlueJ : een 'objecten eerst'-benadering
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ISBN: 9043009881 Year: 2005 Publisher: Place of publication unknown Pearson

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PRINCIPES VAN OBJECTORIËNTATIE 1. Objecten en klassen -- 2. Klassedefinities? -- 3. Interactie van objecten -- 4. Objecten groeperen -- 5. Geavanceerder werking -- 6. Correct werkende objecten -- 7. Klassen ontwerpen -- APPLICATIESTRUCTUREN 8. De stuctuur verbeteren met overerving -- 9. Meer over overerving -- 10. Technieken voor verdere abstractie -- 11. Grafische gebruikersinterfaces maken -- 12. Foutafhandeling -- 13. Toepassingen ontwerpen -- 14. Een praktijkgeval

Data mining : practical machine learning tools and techniques.
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ISBN: 9780120884070 0120884070 Year: 2005 Publisher: Amsterdam Elsevier

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As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more. + Authors, Ian Witten and Eibe Frank, recipients of the 2005 ACM SIGKDD Service Award. + Algorithmic methods at the heart of successful data mining including tried and true techniques as well as leading edge methods; + Performance improvement techniques that work by transforming the input or output; + Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization in a new, interactive interface.

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