Reverse Hypothesis Machine Learning

Name: Reverse Hypothesis Machine Learning
Brand: Springer International Publishing AG
SKU: 9783319856261
Price: 2742 CZK
Availability: InStock

A Practitioner's Perspective

Autor: Parag Kulkarni

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer International Publishing AG

Dostupnost: Skladem u dodavatele

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This book introduces a paradigm of reverse hypothesis machines (RHM), focusing on knowledge innovati...

Informace o knize

Autor

Parag Kulkarni

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2018

Stránek

138

EAN

9783319856261

Enbook ID

20094126

Vydavatel

Springer International Publishing AG

Hmotnost

2467

Rozměry

155 x 235 x 9

Kompletní popis

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.

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Reverse Hypothesis Machine Learning

A Practitioner's Perspective

Informace o knize

Kompletní popis

Mohlo by vás zajímat

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