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 Introduction to Constraint DatabasesConstraint 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... | | | | LINQ Pocket ReferenceReady 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... |
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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... | | | | Database Annotation in Molecular Biology: Principles and PracticeTwo 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... |
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Pattern Recognition, Third EditionA 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,... | | Data Analysis, Machine Learning and Applications: ProceedingsData analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume... | | |
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Constraint Logic Programming using Eclipse
Constraint logic programming lies at the intersection of logic programming, optimisation and artificial intelligence. It has proved a successful tool in many areas including production planning, transportation scheduling, numerical analysis and bioinformatics. Eclipse is one of the leading software systems that realise its underlying... | | Introduction to Machine Learning (Adaptive Computation and Machine Learning)The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed... | | Learning Perl, 5th EditionLearning Perl is designed for those who seek a rapid working knowledge of Perl. A public domain language, Perl has established itself as the premier UNIX scripting language--replacing facilities such as the shell, sed and awk. It is currently taking root in non-UNIX markets as well. Perl is a high-level, multi-purpose language. It is used in... |
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