Adaptivelearning Pattern Recognition Systems
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Adaptive, Learning, and Pattern Recognition Systems; theory and applications
Author | : Mendel |
Publisher | : Academic Press |
Total Pages | : 461 |
Release | : 1970-02-28 |
Genre | : Computers |
ISBN | : 0080955754 |
Adaptive, Learning, and Pattern Recognition Systems; theory and applications
Adaptive Pattern Recognition and Neural Networks
Author | : Yoh-Han Pao |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 344 |
Release | : 1989 |
Genre | : Computers |
ISBN | : |
A coherent introduction to the basic concepts of pattern recognition, incorporating recent advances from AI, neurobiology, engineering, and other disciplines. Treats specifically the implementation of adaptive pattern recognition to neural networks. Annotation copyright Book News, Inc. Portland, Or.
Pattern Recognition and Machine Learning
Author | : Christopher M. Bishop |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 9781493938438 |
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Adaptive and Learning Systems
Author | : Kumpati S. Narendra |
Publisher | : Springer Science & Business Media |
Total Pages | : 410 |
Release | : 2013-11-22 |
Genre | : Mathematics |
ISBN | : 1475718950 |
This volume offers a glimpse of the status of research in adaptive and learning systems in 1985. In recent years these areas have spawned a multiplicity of ideas so rapidly that the average research worker or practicing engineer is overwhelmed by the flood of information. The Yale Workshop on Applications of Adaptive Systems Theory was organized in 1979 to provide a brief respite from this deluge, wherein critical issues may be examined in a calm and collegial environment. The fourth of the series having been held in May 1985, it has now become well established as a biennial forum for the lively exchange of ideas in the ever changing domain of adaptive systems. The scope of this book is broad and ranges from theoretical investigations to practical applications. It includes twenty eight papers by leaders in the field, selected from the Pro ceedings of the Fourth Yale Workshop and divided into five sections. I have provided a brief introduction to each section so that it can be read as a self-contained unit. The first section, devoted to adaptive control theory, suggests the intensity of activity in the field and reveals signs of convergence towards some common themes by workers with rather different moti vation. Preliminary results concerning the reduced order model problem are dramatically changing the way we view the field and bringing it closer to other areas such as robust linear control where major advances have been recently reported.
Pattern Recognition: Architectures, Algorithms And Applications
Author | : Rejean Plamondon |
Publisher | : World Scientific |
Total Pages | : 404 |
Release | : 1991-08-12 |
Genre | : Computers |
ISBN | : 9814506303 |
This book contains 15 reviewed papers selected from among those presented at the 4th Vision Interface Conference in Halifax, Canada 14 - 18 May 1990. The papers are grouped into three sections which deal with parallel architectures and neural networks, algorithms for analysis and processing, and systems and applications.
Advances in Pattern Recognition
Author | : José Francisco Martinez-Trinidad |
Publisher | : Springer Science & Business Media |
Total Pages | : 395 |
Release | : 2010-09-13 |
Genre | : Computers |
ISBN | : 3642159915 |
This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.
Advances in Pattern Recognition
Author | : José Francisco Martínez-Trinidad |
Publisher | : Springer |
Total Pages | : 395 |
Release | : 2010-12-22 |
Genre | : Computers |
ISBN | : 3642159923 |
Annotation. This book constitutes the thoroughly refereed proceedings of the Second Mexican Conference on Pattern Recognition, MCPR 2010, held in Puebly, Mexico, in September 2010. The 39 revised papers were carefully reviewed and selected from 89 submissions and are organized in topical sections on computer vision and robotics, image processing, neural networks and signal processing, pattern recognition, data mining, natural language and document processing.
Handbook On Computer Learning And Intelligence (In 2 Volumes)
Author | : Plamen Parvanov Angelov |
Publisher | : World Scientific |
Total Pages | : 1057 |
Release | : 2022-06-29 |
Genre | : Computers |
ISBN | : 9811247331 |
The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)