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Titlebook: Reverse Hypothesis Machine Learning; A Practitioner‘s Per Parag Kulkarni Book 2017 Springer International Publishing AG 2017 Intelligent Sy

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發(fā)表于 2025-3-21 19:25:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Reverse Hypothesis Machine Learning
副標(biāo)題A Practitioner‘s Per
編輯Parag Kulkarni
視頻videohttp://file.papertrans.cn/830/829393/829393.mp4
概述Presents a practitioner’s perspective on knowledge innovation and machine learning.Discusses different aspects of knowledge innovation applied to systemic machine learning paradigms.Includes case stud
叢書(shū)名稱(chēng)Intelligent Systems Reference Library
圖書(shū)封面Titlebook: Reverse Hypothesis Machine Learning; A Practitioner‘s Per Parag Kulkarni Book 2017 Springer International Publishing AG 2017 Intelligent Sy
描述.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..
出版日期Book 2017
關(guān)鍵詞Intelligent Systems; Knowledge Information; Systems Machine Learning; Creative Machines; Creative Machin
版次1
doihttps://doi.org/10.1007/978-3-319-55312-2
isbn_softcover978-3-319-85626-1
isbn_ebook978-3-319-55312-2Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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https://doi.org/10.1007/978-3-319-55312-2Intelligent Systems; Knowledge Information; Systems Machine Learning; Creative Machines; Creative Machin
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發(fā)表于 2025-3-22 10:42:41 | 只看該作者
Systemic Machine Learning associate with different scenarios to build context. In different contexts, same information can lead to different out come and can help in producing different possibilities. In linguistic sense same word may have different meanings as per context.
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發(fā)表于 2025-3-22 14:32:56 | 只看該作者
Introduction: Patterns ApartPattern is such a beautiful word and is an interesting data representation. There is pattern everywhere and we have firm belief that we learn through patterns. Pattern has taught us almost everything. There is pattern in natural events, there is pattern in behavioral aspect and there is pattern in even obvious and nonobvious behaviors.
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發(fā)表于 2025-3-22 19:19:58 | 只看該作者
Conclusion—Learning ContinuesLearning is necessary for every intelligent creature and in modern era every intelligent system. Can we term knowledge acquisition same as learning?—is the question for discussion here. Learning has many facets and there can be difference in opinion—about what to be called learning and what should not be called learning.
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發(fā)表于 2025-3-23 03:14:57 | 只看該作者
Book 2017hes, 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..
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發(fā)表于 2025-3-23 09:19:32 | 只看該作者
y 1989, the new Supreme Soviet assumed much of the authority previously exercised by the CPSU bureaucracy. The USSR Government, as represented by the Soviets on all levels, will be given the authority to govern and the CPSU will turn to politics. The chapter concludes by tracing parallel development
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