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|a Angelov, Plamen P.
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|a Autonomous learning systems :
|b from data streams to knowledge in real-time /
|c Plamen Angelov.
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|a Chichester, West Sussex, United Kingdom :
|b John Wiley & Sons Inc.,
|c 2013.
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a pt. I. Fundamentals -- pt. II. Methodology of autonomous learning systems -- pt. III. Applications of ALS.
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520 |
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|a Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven - ther.
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|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Self-organizing systems.
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650 |
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|a Machine learning.
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650 |
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6 |
|a Systèmes auto-organisés.
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650 |
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6 |
|a Apprentissage automatique.
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650 |
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7 |
|a COMPUTERS
|x Enterprise Applications
|x Business Intelligence Tools.
|2 bisacsh
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650 |
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|a COMPUTERS
|x Intelligence (AI) & Semantics.
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650 |
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|a Machine learning
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650 |
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776 |
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|i Print version:
|a Angelov, Plamen P.
|t Autonomous learning systems
|z 9781119951520
|w (DLC) 2012025907
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856 |
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|u https://learning.oreilly.com/library/view/~/9781118481912/?ar
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