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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)
This new third edition has again been thoroughly revised, even though the changes are not as extensive as in the second edition. Of course, the general aims of the book have remained the same.

In particular, I have added some additional material, namely two new sections concerning graphical codes (which provides a
...
Approximation Algorithms
Approximation Algorithms
Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous...
Industrial Applications of Evolutionary Algorithms (Intelligent Systems Reference Library)
Industrial Applications of Evolutionary Algorithms (Intelligent Systems Reference Library)

"Industrial applications of evolutionary algorithms" is intended as a resource for both experienced users of evolutionary algorithms and researchers that are beginning to approach these fascinating optimization techniques.

Experienced users will find interesting details of real-world problems, advice on solving...

Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)
Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always...

Hardware Verification with C++: A Practitioners Handbook
Hardware Verification with C++: A Practitioners Handbook
There are several books about hardware verification, so what makes this handbook different? Put simply, this handbook is meant to be useful in your day-to-day work. The authors are like you, cube dwellers, with battle scars from developing chips. We must cope with impossible schedules, a shortage of people to do...
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory (Operations Research/Computer Science Interfaces Series)
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory (Operations Research/Computer Science Interfaces Series)
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory is a survey of some important theoretical contributions, many of which have been proposed and developed in the Foundations of Genetic Algorithms series of workshops. However, this theoretical work is still rather fragmented, and the authors believe that...
Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)
Data Mining and Knowledge Discovery for Big Data: Methodologies, Challenge and Opportunities (Studies in Big Data)

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for...

Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice X (Genetic and Evolutionary Computation)

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.

Topics in this volume include: evolutionary constraints,...

Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)
Spatio-temporal Networks: Modeling and Algorithms (SpringerBriefs in Computer Science)
Spatio-temporal networks (STN)are spatial networks whose topology and/or attributes change with time. These are encountered in many critical areas of everyday life such as transportation networks, electric power distribution grids, and social networks of mobile users. STN modeling and computations raise significant challenges. The model must...
Novel Algorithms and Techniques in Telecommunications and Networking
Novel Algorithms and Techniques in Telecommunications and Networking
This book includes the proceedings of the 2008 International Conference on Telecommunications and Networking (TeNe).

TeNe 08 is part of the International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 08).
...
Competing Risks and Multistate Models with R (Use R!)
Competing Risks and Multistate Models with R (Use R!)
This book explains hazard-based analyses of competing risks and multistate data using the R statistical programming code, placing special emphasis on interpretation of results. Includes real data examples, and encourages readers to simulate their own data....
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