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Research Directions in Data and Applications Security XVIII
Research Directions in Data and Applications Security XVIII

As Information Technology becomes a vital part of our everyday activities, ranging from personal use to government and defense applications, the need to develop high-assurance systems increases. Data and applications security and privacy are crucial elements in developing such systems.

Research Directions in Data and...

Intelligent Video Event Analysis and Understanding (Studies in Computational Intelligence)
Intelligent Video Event Analysis and Understanding (Studies in Computational Intelligence)

With the vast development of Internet capacity and speed, as well as wide adoptation of media technologies in people’s daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and recognize...

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning...

Learning Structure and Schemas from Documents (Studies in Computational Intelligence)
Learning Structure and Schemas from Documents (Studies in Computational Intelligence)
It was not long ago that database systems were revolutionized through the birth of the relational concepts and theory, which are now materialized in most commercial database management systems. It was then thought that data should be structured in a rather simple way to support the day-to-day business operations. This has...
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA, June 13-15, 2007
This book constitutes the refereed proceedings of the 20th Annual Conference on Learning Theory, COLT 2007, held in San Diego, CA, USA in June 2007.

The 41 revised full papers presented together with 5 articles on open problems and 2 invited lectures were carefully reviewed and selected from a total of 92 submissions. The papers cover a wide...

Language and Automata Theory and Applications: 5th International Conference
Language and Automata Theory and Applications: 5th International Conference
These proceedings contain the papers that were presented at the 5th International Conference on Language and Automata Theory and Applications (LATA 2011), held in Tarragona, Spain, during May 26–31, 2011.

The scope of LATA is rather broad, including: algebraic language theory; algorithms for semi-structured
...
Java 11 and 12 – New Features: Learn about Project Amber and the latest developments in the Java language and platform
Java 11 and 12 – New Features: Learn about Project Amber and the latest developments in the Java language and platform

Enhance your development skills with Java's state-of-the-art features and projects to make your applications leaner and faster

Key Features

  • Overcome the challenges involved in migrating to new versions of Java
  • Discover how Oracle has bridged the gap between Java and...
First Course on Fuzzy Theory and Applications (Advances in Soft Computing)
First Course on Fuzzy Theory and Applications (Advances in Soft Computing)

This basic textbook gives an easily accessible introduction to fuzzy theory and its applications. It provides basic and concrete concepts of the field in a self-contained, condensed and understandable style. This First Course on Fuzzy Theory and Applications includes numerous examples, descriptive illustrations and figures of the basic concepts,...

Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability
Advances in Mathematical Modeling for Reliability discusses fundamental issues on mathematical modeling in reliability theory and its applications. Beginning with an extensive discussion of graphical modeling and Bayesian networks, the focus shifts towards repairable systems: a discussion about how sensitive availability calculations parameter...
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Fixed Effects Regression Methods for Longitudinal Data Using SAS
Every empirical researcher knows that randomized experiments have major advantages over observational studies in making causal inferences. Randomization of subjects to different treatment conditions ensures that the treatment groups, on average, are identical with respect to all possible characteristics of the subjects, regardless of whether those...
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)
The process of inductive inference—to infer general laws and principles from particular instances—is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed...
Pro TypeScript: Application-Scale JavaScript Development
Pro TypeScript: Application-Scale JavaScript Development

Explore the features of this innovative open source language in depth, from working with the type system through object-orientation to understanding the runtime and the TypeScript compiler. This fully revised and updated second edition of Steve Fenton’s popular book covers everything you need to discover this fascinating...

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