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Autonomous learning systems : from data streams to knowledge in real-time

Auteur: Plamen P Angelov
Uitgever: Chichester, West Sussex, United Kingdom : Wiley, a John Wiley & Sons, Ltd., Publication, 2013.
Editie/Formaat:   Gedrukt boek : EngelsAlle edities en materiaalsoorten bekijken.
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The result of over a decade of focused research and studies in this emerging area, Autonomous Learning Systems addresses the techniques and challenges of autonomous learning systems and illustrates  Meer lezen...

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Soort document Boek
Alle auteurs / medewerkers: Plamen P Angelov
ISBN: 9781119951520 1119951526 1118481909 9781118481905
OCLC-nummer: 798615034
Beschrijving: xxiv, 273 pages : illustrations ; 26 cm
Inhoud: Introduction --
Part I: Fundamentals. --
Fundamentals of probability theory --
Fundamentals of machine learning and pattern recognition --
Fundamentals of fuzzy systems theory --
Part II: Methodology of autonomous learning systems. --
Evolving system structure from streaming data --
Autonomous learning parameters of the local submodels --
Autonomous predictors, estimators, filters, inferential sensors --
Autonomous learning classifiers --
Autonomous learning controllers --
Collaborative autonomous learning systems --
Part III: Applications of ALS. --
Autonomous learning sensors for chemical and petrochemical industries --
Autonomous learning systems in mobile robotics --
Autonomous novelty detection and object tracking in video streams --
Modeling evolving user behaviour with ALS --
Epilogue --
Appendices. --
Appendix A: Mathematical foundations --
Appendix B: Pseudocode of the basic algoritms.
Verantwoordelijkheid: Plamen Angelov, Lancaster University, UK.
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Overall, this book presents a valuable framework for further investigation and development for researchers and software developers. Summing Up: Recommended. Graduate students and above. (Choice, 1 Meer lezen...

 
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