Learn IT - Books tags computational

Information Optics and Photonics: Algorithms, Systems, and Applications

Springer, 2010

This book will address the advances, applications, research results, and emerging areas of optics, photonics, computational approaches, nano-photonics, bio-photonics, with applications in information systems. The objectives are to bring together novel approaches, analysis, models, and technologies that enhance sensing, measurement,...

Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques

Springer, 2007

This book - in conjunction with the two volumes LNCS 4681 and LNAI 4682 - constitutes the refereed proceedings of the Third International Conference on Intelligent Computing, ICIC 2007, held in Qingdao, China in August 2007.

The intelligent computing technology includes a range of techniques such as artificial intelligence, perceptual and...

Reinforcement Learning: State-of-the-Art (Adaptation, Learning, and Optimization)

Springer, 2012

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement learning has progressed tremendously in the...

Exploratory Analysis and Data Modeling in Functional Neuroimaging

MIT Press, 2002

"All of the papers are well presented and accompanied by illustrative experimental applications. The book coverage goes beyond standard methodologies in functional neuroimaging and amounts to a highly valuable contribution to the field."
-- Alfonso Nieto-Castanon, Neural Networks 18 (2005) 307-308

Functional...

Real-Time Video Compression (The International Series in Engineering and Computer Science)

Springer, 1996

Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation. First, video compression standards, MPEG and H.261/H.263, are described. They both use asymmetric compression algorithms, based on motion estimation. Their...

Heuristic and Optimization for Knowledge Discovery

Idea Group Publishing, 2002

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...

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

Springer, 2011

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...

Computational Methods for Modeling of Nonlinear Systems, Volume 118 (Mathematics in Science and Engineering)

Elsevier Limited, 1975

In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system...

Linear Programming and Network Flows

John Wiley & Sons, 1977

Linear Programming deals with the problem of minimizing or maximizing a linear function in the presence of linear inequalities. Since the development of the simplex method by George B. Dantzig in 1947, linear programming has been extensively used in the military, industrial, governmental, and urban planning fields, among others. The...

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

MIT Press, 2009

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...

Electromagnetic Fields in Mechatronics, Electrical And Electronic Engineering: Proceedings of Isef'05

IOS Press, 2006

This book contains the papers presented at the International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering ISEF’05 which was held in Baiona, Spain on September 15–17, 2005. ISEF conferences have been organized since 1985 as a common initiative of Polish and European...

Learning Structure and Schemas from Documents (Studies in Computational Intelligence)

Springer, 2011

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...

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