高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁

Ubiquitous machine learning and its ...

Tiwari, Arvind Kumar,

Ubiquitous machine learning and its applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Ubiquitous machine learning and its applications/ Pradeep Kumar and Arvind Tiwari [editors].
其他作者:	Tiwari, Arvind Kumar,
出版者:	Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:	1 online resource (xxii, 258 p.) :ill. :
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.
標題:	Ubiquitous computing. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2545-5
ISBN:	9781522525462 (ebook)

Ubiquitous machine learning and its applications
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:

433730
Ubiquitous computing.

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

Dewey Class. No.: 006.31

Ubiquitous machine learning and its applications
LDR:02419nam a2200265 a 4500 001 314584
003 IGIG
005 20181028090602.0
006 m o d
007 cr cn
008 181108s2017 paua fob 001 0 eng d
020 $a 9781522525462 (ebook)
020 $a 9781522525455 (hardcover)
035 $a (OCoLC)974947452
035 $a 1071025373
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a Q325.5 $b .U25 2017e
082 0 4 $a 006.31 $2 23
245 0 0 $a Ubiquitous machine learning and its applications $h [electronic resource] / $c Pradeep Kumar and Arvind Tiwari [editors].
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
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 Ubiquitous computing. $3 433730
650 0 $2 96060 $a Machine learning. $3 248498
700 1 $a Tiwari, Arvind Kumar, $e editor. $3 433729
700 1 $a Kumar, Pradeep $c (Computer scientist), $e editor. $3 433728
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-2545-5

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得，請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論，館方有權利刪除任何違反評論規則之發言，情節嚴重者一律停權，以維護所有讀者的自由言論空間。

Export

取書館別

登入

請輸入帳號密碼

帳號(必備) 　　　　　　　　　　(請輸入學號/職號).

密碼
　　　　　 (請輸入學校電子郵件密碼)
.
　　　　本校和附屬機構教職員工生，可透過校務資訊系統【快速登入區】進行登入，不用再認證。

　　　　校內教職員工及學生

　　　　帳號：學號/職號；密碼：本校電子信箱密碼

　　　　附屬機構醫事人員、其他非編制內教職員工

　　　　帳號：職號；密碼：身份證號共10碼，英文字母大寫

　　　　校友及外校實習生

　　　　帳號：借書證上之條碼號；密碼：請點選忘記密碼重新設定

　　　　如有任何問題歡迎洽詢圖書館流通櫃台(分機2133*83;read@kmu.edu.tw)，謝謝。

　　　　　　　　～請尊重智慧財產權，勿非法影印～

　　　　　Login information for International Students: *Username: Student ID Password: KMU Email Password

　　　　　If you have any question, please contact us. (Tel : 07-3121101#2133#83; Email: read@kmu.edu.tw)

　　　　　~Please respect the Intellectual Property Rights, do not use illegal copies of textbooks ~

請在此電腦上記得個人資料

取消忘記密碼? Forgot your password? (請注意！您必須已在系統登記E-mail信箱方能使用。且忘記密碼功能不適用校院內教職員及學生)