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  1. Programming Collective Intelligence

    by Toby Segaran

    Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms... (learn more about this book)

  2. Information Science and Statistics

    Pattern Recognition and Machine Learning

    by Christopher M. Bishop

    The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to become mainstream, while graphical... (learn more about this book)

  3. Mastering Algorithms with C (Mastering)

    by Kyle Loudon

    Mastering Algorithms with C offers robust solutions for everyday programming tasks. This book avoids the abstract style of most classic data structures and algorithms texts, yet provides all the information you need to understand and use common programming techniques. Intended for anyone... (learn more about this book)

  4. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

    by Dan Jurafsky

    This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of... (learn more about this book)

  5. Prolog Programming for Artificial Intelligence

    by Ivan Bratko

    B> This best-selling guide to Prolog has been fully revised and extended to provide an even greater range of applications, enhancing its value as a stand-alone guide to Prolog, artificial intelligence, or AI programming. Ivan Bratko discusses natural language processing with grammar... (learn more about this book)

  6. Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)

    by James F. Kennedy

    Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this... (learn more about this book)

  7. Proceedings 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition: June 23-25, 1998 Santa Barbara, California

    by IEEE Computer Society

    This collection of papers from the CVPR conference explore the field of computational intelligence. It includes: tracking; pattern analysis; 2D and low-level vision; motion, real-time and active vision; medical image analysis; deformable models and shape; and face recognition, vision and... (learn more about this book)

  8. AI Application Programming (Programming Series) (Programming Series)

    by M. Tim Jones

    The popularity of artificial intelligence continues to grow as more and more uses are found for the technology. AI Application Programming Second Edition is completely updated to supply both the conceptual background and the real-world examples needed to begin using AI in software projects.... (learn more about this book)

  9. Interactive Theorem Proving and Program Development

    by Yves Bertot

    Coq is an interactive proof assistant for the development of mathematical theories and formally certified software. It is based on a theory called the calculus of inductive constructions, a variant of type theory. This book provides a pragmatic introduction to the development of proofs and... (learn more about this book)

  10. Kernel Methods for Pattern Analysis

    by John Shawe-Taylor

    This book provides professionals with a large selection of algorithms, kernels and solutions ready for implementation and suitable for standard pattern discovery problems in fields such as bioinformatics, text analysis and image analysis. It also serves as an introduction for students and... (learn more about this book)

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