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*Comprehensive Coverage of the Entire Area of Classification*
Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of t...
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How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretic...
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Almost every year, a new book on mathematical modeling is published, so, why another? The answer springs directly from the fact that it is very rare to find a book that covers modeling with all types of differential equations in one volume. Until ...
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Assuming one semester of calculus, this textbook introduces probability to undergraduate students who want to learn statistics. It clearly explains the importance of widely used distributions in statistics, such as normal, binomial, and Poisson, a...
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When scientists formulate their theories, expectations, and hypotheses, they often use statements like: `I expect mean A to be bigger than means B and C";`I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the rel...
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This book presents case studies in statistical computing for data analysis. Each case study addresses a statistical application with a focus on comparing different computational approaches and explaining the reasoning behind them. The case studies...
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An easy-to-use reference source for all scientists working with carbohydrates, the Dictionary of Carbohydrates with CD-ROM, Second Edition builds on the success of its previous edition by providing a substantially increased number of compounds. Th...
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*Choose the Correct Solution Method for Your Optimization Problem*
**Optimization: Algorithms and Applications** presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details...
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