Reverse Hypothesis Machine Learning by Kulkarni Parag (25 results)
Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
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Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innov…ation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same¿the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.
Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
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Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
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Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
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Language: English
Published by Springer International Publishing, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
Seller: moluna, Greven, Germanymoluna
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Gebunden. Condition: New.
Language: English
Published by Springer International Publishing, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
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Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
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Condition: New. Softcover reprint of the original 1st ed. 2017 edition NO-PA16APR2015-KAP.
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Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Reverse Hypothesis Machine Learning | A Practitioner's Perspective | Parag Kulkarni | Taschenbuch | Intelligent Systems Reference Library | xvi | Englisch | 2018 | Springer | EAN 9783319856261 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]…hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer-Verlag New York Inc, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 138 pages. 9.50x6.25x0.75 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning.Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innova…tion based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning.All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learningapplications to solve problems that require creativity.
Language: English
Published by Springer, Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
£ 113.36
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning.Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge innovation ba…sed learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning.All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learningapplications to solve problems that require creativity.
Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer International Publishing Jul 2018, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning.Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence…Knowledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning.All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learningapplications to solve problems that require creativity. 156 pp. Englisch.
Language: English
Published by Springer International Publishing Apr 2017, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning.Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowled…ge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning.All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learningapplications to solve problems that require creativity. 156 pp. Englisch.
Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
- Print on Demand
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Language: English
Published by Springer, Palgrave Macmillan Jul 2018, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Kno…wledge innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
Language: English
Published by Springer, Palgrave Macmillan Apr 2017, 2017
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Hardcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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£ 113.36
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovation and machine learning. Knowledge- acquisition -based learning is constrained by large volumes of data and is time consuming. Hence Knowledge…innovation based learning is the need of time. Since under-learning results in cognitive inabilities and over-learning compromises freedom, there is need for optimal machine learning. All existing learning techniques rely on mapping input and output and establishing mathematical relationships between them. Though methods change the paradigm remains the same-the forward hypothesis machine paradigm, which tries to minimize uncertainty. The RHM, on the other hand, makes use of uncertainty for creative learning. The approach uses limited data to help identify new and surprising solutions. It focuses on improving learnability, unlike traditional approaches, which focus on accuracy. The book is useful as a reference book for machine learning researchers and professionals as well as machine intelligence enthusiasts. It can also used by practitioners to develop new machine learning applications to solve problems that require creativity.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
Language: English
Published by Springer, 2018
Series: Book 97 of 188 - Intelligent Systems Reference Library
- Softcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND.
