Stock image for illustration purposes only - book cover, edition or condition may vary.
Multiple Instance Learning
Herrera, Francisco; Ventura, Sebastian; Bello, Rafael; Cornelis, Chris; Zafra, Amelia; Sanchez-Tarrago, Danel; Vluymans, Sarah
€ 123.16
FREE Delivery in Ireland
Description for Multiple Instance Learning
Hardback. Num Pages: 233 pages, 6 black & white illustrations, 40 colour illustrations, biography. BIC Classification: UG; UMB; UYQM; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 537.
This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the most relevant proposals are specified. Efficient algorithms are developed to discover relevant information when working with uncertainty. Key representative applications are included.
This book carries out a study of the key related fields of distance metrics and alternative hypothesis. Chapters examine new and developing aspects of MIL such as data reduction for multi-instance problems and ... Read more
This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the most relevant proposals are specified. Efficient algorithms are developed to discover relevant information when working with uncertainty. Key representative applications are included.
This book carries out a study of the key related fields of distance metrics and alternative hypothesis. Chapters examine new and developing aspects of MIL such as data reduction for multi-instance problems and ... Read more
Product Details
Format
Hardback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
233
Condition
New
Number of Pages
233
Place of Publication
Cham, Switzerland
ISBN
9783319477589
SKU
V9783319477589
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Multiple Instance Learning