大葉大學圖書館 |

Ubiquitous machine learning and its applications[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.31
書名/作者:	Ubiquitous machine learning and its applications/ Pradeep Kumar and Arvind Tiwari [editors].
其他作者:	Kumar, Pradeep
出版者:	Hershey, Pennsylvania : : IGI Global,, [2017]
面頁冊數:	1 online resource (xxii, 258 p.) : : ill.
標題:	Machine learning.
標題:	Ubiquitous computing.
ISBN:	9781522525462 (ebook)
ISBN:	9781522525455 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	Introduction to machine learning / Arvind Kumar Tiwari -- Mobile vision for plant biometric system / Shitala Prasad -- Business applications of deep learning / Armando Vieira -- Significance of affective sciences and machine intelligence to decipher complexity rooting in urban sciences / Alok Bhushan Mukherjee, Akhouri Pramod Krishna, Nilanchal Patel -- Coronary heart disease prognosis using machine-learning techniques on patients with type 2 diabetes mellitus / Angela Pimentel -- Application of machine learning techniques for software reliability prediction (SRP) / Pradeep Kumar -- Feature selection algorithms for classification and clustering / Arvind Kumar Tiwari -- Application of optimization techniques for gene expression data analysis / Suresh Dara, Arvind Kumar Tiwari -- Machine-learning-based approach for face recognition / Arvind Kumar Tiwari -- How games improve language in people with language dysfunctions / Robert Wahlstedt -- Conclusion / Pradeep Kumar.
摘要、提要註:	"[This book] is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines"--Provided by publisher.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2545-5

Ubiquitous machine learning and its applications[electronic resource] /
Ubiquitous machine learning and its applications[electronic resource] /Pradeep Kumar and Arvind Tiwari [editors]. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (xxii, 258 p.) :ill.

Includes bibliographical references and index.

Introduction to machine learning / Arvind Kumar Tiwari -- Mobile vision for plant biometric system / Shitala Prasad -- Business applications of deep learning / Armando Vieira -- Significance of affective sciences and machine intelligence to decipher complexity rooting in urban sciences / Alok Bhushan Mukherjee, Akhouri Pramod Krishna, Nilanchal Patel -- Coronary heart disease prognosis using machine-learning techniques on patients with type 2 diabetes mellitus / Angela Pimentel -- Application of machine learning techniques for software reliability prediction (SRP) / Pradeep Kumar -- Feature selection algorithms for classification and clustering / Arvind Kumar Tiwari -- Application of optimization techniques for gene expression data analysis / Suresh Dara, Arvind Kumar Tiwari -- Machine-learning-based approach for face recognition / Arvind Kumar Tiwari -- How games improve language in people with language dysfunctions / Robert Wahlstedt -- Conclusion / Pradeep Kumar.

Restricted to subscribers or individual electronic text purchasers.

"[This book] is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines"--Provided by publisher.

ISBN: 9781522525462 (ebook)Subjects--Topical Terms:

202931
Machine learning.

LC Class. No.: Q325.5 / .U25 2017e

Dewey Class. No.: 006.31

Ubiquitous machine learning and its applications[electronic resource] /
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245 0 0 $a Ubiquitous machine learning and its applications $h [electronic resource] / $c Pradeep Kumar and Arvind Tiwari [editors].
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300 $a 1 online resource (xxii, 258 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Introduction to machine learning / Arvind Kumar Tiwari -- Mobile vision for plant biometric system / Shitala Prasad -- Business applications of deep learning / Armando Vieira -- Significance of affective sciences and machine intelligence to decipher complexity rooting in urban sciences / Alok Bhushan Mukherjee, Akhouri Pramod Krishna, Nilanchal Patel -- Coronary heart disease prognosis using machine-learning techniques on patients with type 2 diabetes mellitus / Angela Pimentel -- Application of machine learning techniques for software reliability prediction (SRP) / Pradeep Kumar -- Feature selection algorithms for classification and clustering / Arvind Kumar Tiwari -- Application of optimization techniques for gene expression data analysis / Suresh Dara, Arvind Kumar Tiwari -- Machine-learning-based approach for face recognition / Arvind Kumar Tiwari -- How games improve language in people with language dysfunctions / Robert Wahlstedt -- Conclusion / Pradeep Kumar.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "[This book] is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines"--Provided by publisher.
650 0 $a Machine learning. $3 202931
650 0 $a Ubiquitous computing. $3 405133
700 1 $a Kumar, Pradeep $c (Computer scientist), $e editor. $3 733234
700 1 $a Tiwari, Arvind Kumar, $e editor. $3 733235
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