Reverse Hypothesis Machine Learning

Language: English

Published by Springer, Palgrave Macmillan Apr 2017, 2017

3319553119 / 9783319553115

Series: Book 97 of 188 - Intelligent Systems Reference Library

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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.

Seller Inventory # 9783319553115

Title
Reverse Hypothesis Machine Learning
Author
Parag Kulkarni
Publisher
Springer, Palgrave Macmillan Apr 2017
Publication year
2017
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319553119
ISBN 13
9783319553115
Item weight
407 grams
Dimensions
241x160x15 mm
Series
Book 97 of 188: Intelligent Systems Reference Library

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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