ENGLISH

Sequence Learning: Paradigms, Algorithms, and Applications

By Ron Sun (auth.) , Ron Sun , C. Lee Giles (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2001
ISBN
3540415971, 9783540415978
DOI
10.1007/3-540-44565-X
Open Library ID
OL12774643M
Language
english
Format
PDF
Filesize
3 MB (3553658 bytes)
Series
Lecture Notes in Computer Science 1828 : Lecture Notes in Artificial Intelligence
Edition
1
Pages
396\400
Topic
Computers
Time added
2011-06-04 13:46:07
Artificial Intelligence (incl. Robotics); Computat

Description

Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.

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