برچسب ها: O'Reilly All Book 2011 - A to L Collection -،
Elephorm-SEO, SEO Optimize Your Web With the Google search engine
Publisher: Elephorm | Release Date: Feb 16. 2011 | Video: MP4 | Audio: AAC 44.1KHz Mono | 2.2GB
Language: French | Duration: 6h25min
Genre: Video Training
The integration of artificial intelligence and knowledge based methods and technologies as well as computer based information systems has created the next generation of information systems intelligent information systems. This connection enables these new information systems to demonstrate novel capabilities, in particular: supporting users in decision making, processing data, discovering and processing knowledge, and reasoning under uncertainty. Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches presents selected new AIbased ideas and methods for analysis and decision making in intelligent information systems derived using systemic and cybernetic approaches. This book is useful for researchers, practitioners and students interested intelligent information retrieval and processing, machine learning and adaptation, knowledge discovery, applications of fuzzy based methods and neural networks.
برچسب ها: System،
Computability has played a crucial role in mathematics and computer science, leading to the discovery, understanding and classification of decidable/undecidable problems, paving the way for the modern computer era, and affecting deeply our view of the world. Recent new paradigms of computation, based on biological and physical models, address in a radically new way questions of efficiency and challenge assumptions about the so-called Turing barrier. This volume addresses various aspects of the ways computability and theoretical computer science enable scientists and philosophers to deal with mathematical and real-world issues, covering problems related to logic, mathematics, physical processes, real computation and learning theory. At the same time it will focus on different ways in which computability emerges from the real world, and how this affects our way of thinking about everyday computational issues.
Spri nger | 2011 | ISBN: 1441996842 | 113 pages | PDF | 1,7 MB
Speech Processing and Soft Computing includes coverage of synergy between speech technology and bio-inspired soft computing methods. Through practical cases, the author explores, dissects and examines how soft computing may complement conventional techniques in speech enhancement and speech recognition in order to provide robust systems. The material is especially useful to graduate students and experienced researchers who are interested in expanding their horizons and investigating new research directions through review of the theoretical and practical settings of soft computing methods in very recent speech applications.
برچسب ها: Computing، Processing، Soft،
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.
New to the Second Edition
- New chapter on Bayesian network classifiers
- New section on object-oriented Bayesian networks
- New section that addresses foundational problems with causal discovery and Markov blanket discovery
- New section that covers methods of evaluating causal discovery programs
- Discussions of many common modeling errors
- New applications and case studies
- More coverage on the uses of causal interventions to understand and reason with causal Bayesian networks
Technology has now progressed to the point that intelligent systems are replacing humans in the decision making processes as well as aiding in the solution of very complex problems. In many cases intelligent systems are already outperforming human activities. Artificial neural networks are not only capable of learning how to classify patterns, such images or sequence of events, but they can also effectively model complex nonlinear systems. Their ability to classify sequences of events is probably more popular in industrial applications where there is an inherent need to model nonlinear system behavior.
برچسب ها: Intelligent Systems،
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