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Phylogenetics (Oxford Lecture Series in Mathematics and Its Applications, 24) (RE-UPLOAD)

vaniave — Thu, 12 Jun 2008 16:02:00 GMT

"Phylogenetics" is the reconstruction and analysis of phylogenetic (evolutionary) trees and networks based on inherited characteristics. It is a flourishing area of intereaction between mathematics, statistics, computer science and biology. T

"Sebastian Thrun, Wolfram Burgard, Dieter Fox", Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)

rissvann — Sat, 10 May 2008 14:26:00 GMT

"Sebastian Thrun, Wolfram Burgard, Dieter Fox", Probabilistic Robotics (Intelligent Robotics and Autonomous Agents)
Publisher: The MIT Press | Pages: 667 | 2005-09-01 | ISBN: 0262201623 | Format: PDF

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations.

C++ Neural Networks and Fuzzy Logic

amin.ypro — Sun, 13 Apr 2008 07:58:00 GMT

by Valluru Rao, "C++ Neural Networks and Fuzzy Logic "
Publisher: M & T Books | Number Of Pages: 549 | 1995-10 | ISBN: 1558515526 | PDF | 2 Mb

Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration

tot167 — Mon, 07 Apr 2008 05:47:00 GMT

Earl Cox “Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration"
Morgan Kaufmann | 2005-02-24 | ISBN: 0121942759 | 540 pages | PDF | 2,9 Mb

Artificial Intelligence : A Modern Approach (2nd Edition) (PDF version)

jiji_jiji — Sun, 10 Feb 2008 07:27:00 GMT

Stuart J. Russell , Peter Norvig , "Artificial Intelligence: A Modern Approach" (2nd Edition) (PDF)"
Prentice Hall | ISBN: 0137903952 | 1132 pages | PDF | 30 MB

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More

tika12 — Fri, 04 Jan 2008 06:31:00 GMT

Toshinori Munakata, "Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More"
Springer; 2 edition (December 28, 2007) | ISBN: 184628838X | 238 pages | PDF | 3,1 Mb

Evolutionary Robotics: From Algorithms to Implementations (World Scientific Series in Robotics and Intelligent Systems)

rissvann — Fri, 28 Dec 2007 03:10:00 GMT

Noise Reduction in Speech Applications

misirac — Thu, 15 Nov 2007 11:40:00 GMT

by Gillian M.Davis"Noise Reduction in Speech Applications"
CRC Press | ISBN:0849309492 | 2002. | 400 p. | RARed PDF 7.48MB

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications...

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation) 2nd Edition

jiji_jiji — Sun, 21 Oct 2007 06:57:00 GMT

"Evolutionary Algorithms for Solving Multi-Objective Problems" (Genetic and Evolutionary Computation)
by Carlos A. Coello Coello, Gary B. Lamont, David A. Van Veldhuizen
Publisher: Springer | Publication Date:2007-09-18 | ISBN:0387332545 | 800 Pages | PDF | 9 MB

Fuzzy Sets and Fuzzy Logic: Theory and Applications

jiji_jiji — Sat, 20 Oct 2007 09:28:00 GMT

Stuart J. Russell , Peter Norvig , "Artificial Intelligence: A Modern Approach" (2nd Edition)

bearfox — Wed, 15 Aug 2007 19:37:00 GMT

The first edition of Artificial Intelligence: A Modern Approach has become a classic in the AI literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field.In the second edition, every chapter has been extensively rewritten...The book is supported by a suite of online resources...

Constraint Reasoning for Differential Models

misirac — Mon, 06 Aug 2007 17:51:00 GMT

Jorge Cruz "Constraint Reasoning for Differential Models"
IOS Press | ISBN: 1586035320 | 2005 | 243 p | RARed | PDF | 1.71MB

The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework...

Fuzzy Database Modeling of Imprecise and Uncertain

tmobile — Sun, 24 Jun 2007 04:09:00 GMT

Fuzzy Database Modeling of Imprecise and Uncertain
Publisher:Springer (2006-03-14) | ISBN-10: 3540306757 | PDF | 5.3 Mb | 210 pages

Artificial Intelligence Methods and Tools for Systems Biology

outcaast — Tue, 19 Jun 2007 12:38:09 GMT

This book provides simultaneously a design blueprint, user guide, research agenda, and communication platform for current and future developments in artificial intelligence (AI) approaches to systems biology. It places an emphasis on the molecular dimension of life phenomena and in one chapter on anatomical and functional modeling of the brain. As design blueprint, the book is intended for scientists and other professionals tasked with developing and using AI technologies in the context of life sciences research. As a user guide, this volume addresses the requirements of researchers to gain a basic understanding of key AI methodologies for life sciences research. Its emphasis is not on an intricate mathematical treatment of the presented AI methodologies. Instead, it aims at providing the users with a clear understanding and practical know-how of the methods.

Adaptive Business Intelligence

outcaast — Sun, 17 Jun 2007 10:59:00 GMT

In the modern information era, managers must recognize the competitive opportunities represented by decision-support tools. Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? And what is the best decision right now? Adaptive Business Intelligence includes elements of data mining, predictive modeling, forecasting, optimization, and adaptability. The authors have considerable academic research backgrounds in artificial intelligence and related fields, combined with years of practical consulting experience in businesses and industries worldwide. In this book they explain the science and application of numerous prediction and optimization techniques, as well as how these concepts can be used to develop adaptive systems. The techniques covered include linear regression, time-series forecasting, decision trees and tables, artificial neural networks, genetic programming, fuzzy systems, genetic algorithms, simulated annealing, tabu search, ant systems, and agent-based modeling.

Fuzzy Modeling with Spatial Information for Geographic Problems

misirac — Sat, 16 Jun 2007 22:14:00 GMT

Frederick E.Petry, Vincent B.Robinson & Maria A.Cobb, Fuzzy Modeling with Spatial Information for Geographic Problems
Springer | ISBN: 3540237135 | 2005. | 343 p. | RARed PDF 9.21MB

This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems...

Ontology Alignment: Bridging the Semantic Gap

outcaast — Mon, 11 Jun 2007 15:34:00 GMT

A large number of information systems use many different individual schemas to represent data. Semantically linking these schemas is a necessary precondition to establish interoperability between agents and services. Consequently, ontology alignment and mapping for data integration has become central to building a world-wide semantic web. Ontology Alignment: Bridging the Semantic Gap introduces novel methods and approaches for semantic integration. In addition to developing new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. The topic of this book, coupled with the application-focused methodology, will appeal to professionals from a number of different domains.

Advances in Fuzzy Object-Oriented Databases: Modeling and Applications

outcaast — Thu, 07 Jun 2007 01:16:00 GMT

Zongmin Ma, «Advances in Fuzzy Object-Oriented Databases: Modeling and Applications»
Idea Group Publishing | ISBN: 1591403847 | 2004-11-01 | 354 pages | PDF | 3.3 Mb

Collecting the latest research results from the leading researchers in the field of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and Applications provide a single source for current research and practical applications in fuzzy object-oriented databases. This book includes major aspects of fuzzy object-oriented database modeling - conceptual, logical and physical, as well as details of implementations and applications.

Fuzzy Algorithms: With Applications to Image Processing

outcaast — Tue, 05 Jun 2007 23:15:00 GMT

This text deals with the subject of fuzzy algorithms and their applications to image processing and pattern recognition. Subjects covered include membership functions; fuzzy clustering; fuzzy rulers and defuzzification; fuzzy classifiers; and combined classifiers.

Fuzzy Models & Algorithms for Pattern Recognition...

outcaast — Fri, 01 Jun 2007 13:25:00 GMT

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision.