9780367649104 - prediction and analysis for knowledge representation and machine learning (15 risultati)
Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 186,50
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 204,99
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Condizione: New. In.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 265,70
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Hardcover. Condizione: Brand New. 248 pages. 9.25x6.19x0.56 inches. In Stock.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 177,40
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in t…he generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems.Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book's website.Features:Examines the representational adequacy of needed knowledge representationManipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original informationImproves inferential and acquisition efficiency by applying automatic methods to acquire new knowledgeCovers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technologyDescribes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarterThis book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts. 232 pp. Englisch.
Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (Galgotias Uni.)|Sagar, Shrddha (Galgotias Uni.)|Kumar, T. Ganesh|Sampath Kumar, K.
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Da: moluna, Greven, Germaniamoluna
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Avadhesh Kumar is PVC at Galgotias University, Greater Noida, Uttar Pradesh, India. He has more than 21 years of Academic and Research Experience. He was awarded Ph.D. in Computer Science & Engineering i…n 2010 from Thapar University..
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 208,66
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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EUR 217,63
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 195,28
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the ge…neration or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems.Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book's website.Features:Examines the representational adequacy of needed knowledge representationManipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original informationImproves inferential and acquisition efficiency by applying automatic methods to acquire new knowledgeCovers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technologyDescribes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarterThis book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts.
