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Autonomous Learning Systems : From Data Streams to Knowledge in Real‐time
monograph
Author(s):
Plamen Angelov
Publication date
(Online):
November 06 2012
Publisher:
Wiley
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Book
ISBN (Print):
9781119951520
ISBN (Electronic):
9781118481769
Publication date (Print):
December 07 2012
Publication date (Online):
November 06 2012
DOI:
10.1002/9781118481769
SO-VID:
184bd4b4-5f5c-4ddd-ad27-eaff842e30ff
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Book chapters
pp. i
Front Matter
pp. 1
Introduction
pp. 17
Fundamentals of Probability Theory
pp. 37
Fundamentals of Machine Learning and Pattern Recognition
pp. 61
Fundamentals of Fuzzy Systems Theory
pp. 83
Evolving System Structure from Streaming Data
pp. 109
Autonomous Learning Parameters of the Local Submodels
pp. 121
Autonomous Predictors, Estimators, Filters, Inferential Sensors
pp. 133
Autonomous Learning Classifiers
pp. 143
Autonomous Learning Controllers
pp. 155
Collaborative Autonomous Learning Systems
pp. 163
Autonomous Learning Sensors for Chemical and Petrochemical Industries
pp. 179
Autonomous Learning Systems in Mobile Robotics
pp. 197
Autonomous Novelty Detection and Object Tracking in Video Streams
pp. 211
Modelling Evolving User Behaviour with ALS
pp. 223
Epilogue
pp. 229
Appendix A: Mathematical Foundations
pp. 235
Appendix B: Pseudocode of the Basic Algorithms
pp. 245
References
pp. 259
Glossary
pp. 263
Index
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