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Logical Foundations for Rule-Based Systems (Studies in Computational Intelligence)
Logical Foundations for Rule-Based Systems (Studies in Computational Intelligence)

Thinking in terms of facts and rules is perhaps one of the most common ways of approaching problem definition and problem solving both in everyday life and under more formal circumstances. The best known set of rules, the Ten Commandments have been accompanying us since the times of Moses; the Decalogue proved to be simple but...

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications
Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications
Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP).  The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data...
Multimedia Semantics: Metadata, Analysis and Interaction
Multimedia Semantics: Metadata, Analysis and Interaction
Digital multimedia items can be found on most electronic equipment ranging from mobile phones and portable audiovisual devices to desktop computers. Users are able to acquire, create, store, send, edit, browse, and render through such content at an increasingly fast rate. While it becomes easier to generate and store data, it also...
Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete...

Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience (The Information Retrieval Series)
Dynamic Taxonomies and Faceted Search: Theory, Practice, and Experience (The Information Retrieval Series)

Current search paradigms for the Web, direct access through search engines and navigational access via static taxonomies, have recently been strongly criticized. A third paradigm, dynamic taxonomies or faceted search, is gaining acceptance to the extent that it is now the de facto standard in product selection for e-commerce. This new...

Spatial Microeconometrics (Routledge Advanced Texts in Economics and Finance)
Spatial Microeconometrics (Routledge Advanced Texts in Economics and Finance)

Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key...

Reconstructing Evolution: New Mathematical and Computational Advances
Reconstructing Evolution: New Mathematical and Computational Advances
Evolution is a complex process, acting at multiple scales, from DNA sequences and proteins to populations of species. Understanding and reconstructing evolution is of major importance in numerous subfields of biology. For example, phylogenetics and sequence evolution is central to comparative genomics, attempts to decipher genomes, and molecular...
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods
Adaptive Learning of Polynomial Networks: Genetic Programming, Backpropagation and Bayesian Methods

This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and...

Reinforcement and Systemic Machine Learning for Decision Making
Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making

There are always difficulties in making machines that learn from experience. Complete information is not always available—or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
Statistical Methods for Environmental Epidemiology with R: A Case Study in Air Pollution and Health (Use R!)
As an area of statistical application, environmental epidemiology and more speci cally, the estimation of health risk associated with the exposure to - vironmental agents, has led to the development of several statistical methods and software that can then be applied to other scienti c areas. The stat- tical analyses aimed at addressing...
Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Third Edition
Artificial Intelligence: Structures and Strategies for Complex Problem Solving, Third Edition
Combines the theoretical foundations of intelligent problem-solving with he data structures and algorithms needed for its implementation. The book presents logic, rule, object and agent-based architectures, along with example programs written in LISP and PROLOG. The practical applications of AI have been kept within the context of its broader goal:...
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