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Information and Complexity in Statistical Modeling (Information Science and Statistics)
Information and Complexity in Statistical Modeling (Information Science and Statistics)
No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of...
Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation)
Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigans Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in...
Genomic Perl: From Bioinformatics Basics to Working Code
Genomic Perl: From Bioinformatics Basics to Working Code

"I found this to be an excellent book, and would not hesitate to recommend it to advanced undergraduate and postgraduate students." Saturnino Luz, Computing Reviews

In this introduction to computational molecular biology, Rex Dwyer explains many basic computational problems and gives concise, working programs to
...

Semantic Web: Concepts, Technologies and Applications
Semantic Web: Concepts, Technologies and Applications
Although the Web is growing at an astounding pace, surpassing the 8 billion page mark, most pages are still designed for human consumption and cannot be processed by machines. Computers are used to display the information, but human intervention is still required to interpret the results. The Semantic Web unleashes a revolution of new possibilities...
Introduction to Constraint Databases
Introduction to Constraint Databases
Constraint databases provide extra expressive power over relational databases in a largely hidden way at the data-storage or physical level. Constraints, such as linear or polynomial equations, are used to represent large sets in a compact manner. They keep the view of the database for a user or application programmer almost as simple as in...
Progress in Pattern Recognition, Image Analysis and Applications: 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007,Valpariso
Progress in Pattern Recognition, Image Analysis and Applications: 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007,Valpariso
These proceedings offer a written account of the scientific contributions presented at the 12th Iberoamerican Congress on Pattern Recognition (CIARP 2007), held in Vi˜na del Mar-Valpara´ıso, Chile. The aim of the congress was to promote and disseminate ongoing research and mathematical methods for pattern recognition, image...
LINQ Pocket Reference
LINQ Pocket Reference
Ready to take advantage of LINQ with C# 3.0? This guide has the detail you need to grasp Microsoft's new querying technology, and concise explanations to help you learn it quickly. And once you begin to apply LINQ, the book serves as an on-the-job reference when you need immediate reminders. All the examples in the LINQ Pocket Reference are...
Success in Evolutionary Computation (Studies in Computational Intelligence)
Success in Evolutionary Computation (Studies in Computational Intelligence)
Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large...
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
Supervised and Unsupervised Ensemble Methods and their Applications (Studies in Computational Intelligence)
The rapidly growing amount of data, available from different technologies in the field of bio-sciences, high-energy physics, economy, climate analysis, and in several other scientific disciplines, requires a new generation of machine learning and statistical methods to deal with their complexity and heterogeneity. As data collections becomes...
Database Annotation in Molecular Biology: Principles and Practice
Database Annotation in Molecular Biology: Principles and Practice
Two factors dominate current molecular biology: the amount of raw data is increasing very rapidly and successful applications in biomedical research require carefully curated and annotated databases.  The quality of the data - especially nucleic acid sequences - is satisfactory; however, annotations depend on features inferred from the data...
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
A classic -- offering comprehensive and unified coverage with a balance between theory and practice!

Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition and audio classification, communications, computer-aided diagnosis, data mining. The authors,
...
Parallel Processing and Applied Mathematics: 5th International Conference, PPAM 2003, Czestochowa, Poland, September 7-10, 2003. Revised Papers
Parallel Processing and Applied Mathematics: 5th International Conference, PPAM 2003, Czestochowa, Poland, September 7-10, 2003. Revised Papers
This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Parallel Processing and Applied Mathematics, PPAM 2003, held in Czestochowa, Poland, in September 2003.

The 149 papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in...

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