國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multiview machine learning

SpringerLink (Online service)

Multiview machine learning

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multiview machine learningby Shiliang Sun ... [et al.].
其他作者:	Sun, Shiliang.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	x, 149 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learning.
電子資源:	https://doi.org/10.1007/978-981-13-3029-2
ISBN:	9789811330292$q(electronic bk.)

Multiview machine learning
Multiview machine learning[electronic resource] /by Shiliang Sun ... [et al.]. - Singapore :Springer Singapore :2019. - x, 149 p. :ill. (some col.), digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Multiview Semi-supervised Learning -- Chapter 3. Multiview Subspace Learning -- Chapter 4. Multiview Supervised Learning -- Chapter 5. Multiview Clustering -- Chapter 6. Multiview Active Learning -- Chapter 7. Multiview Transfer Learning and Multitask Learning -- Chapter 8. Multiview Deep Learning -- Chapter 9. View Construction.

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.

ISBN: 9789811330292$q(electronic bk.)

Standard No.: 10.1007/978-981-13-3029-2doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Multiview machine learning
LDR:02100nmm a2200325 a 4500 001 555189
003 DE-He213
005 20190107170529.0
006 m d
007 cr nn 008maaau
008 191121s2019 si s 0 eng d
020 $a 9789811330292$q(electronic bk.)
020 $a 9789811330285$q(paper)
024 7 $a 10.1007/978-981-13-3029-2 $2 doi
035 $a 978-981-13-3029-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .M961 2019
245 0 0 $a Multiview machine learning $h [electronic resource] / $c by Shiliang Sun ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a x, 149 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1. Introduction -- Chapter 2. Multiview Semi-supervised Learning -- Chapter 3. Multiview Subspace Learning -- Chapter 4. Multiview Supervised Learning -- Chapter 5. Multiview Clustering -- Chapter 6. Multiview Active Learning -- Chapter 7. Multiview Transfer Learning and Multitask Learning -- Chapter 8. Multiview Deep Learning -- Chapter 9. View Construction.
520 $a This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance, multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research, and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.
650 0 $a Machine learning. $3 188639
650 1 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Big Data. $3 760530
700 1 $a Sun, Shiliang. $3 261891
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-13-3029-2
950 $a Computer Science (Springer-11645)