Support Vector Machines and Evolutionary Algorithms for Classification
Stoean, Catalin; Stoean, Ruxandra
€ 139.59
FREE Delivery in Ireland
Description for Support Vector Machines and Evolutionary Algorithms for Classification
Paperback. Series: Intelligent Systems Reference Library. Num Pages: 138 pages, 31 black & white illustrations, biography. BIC Classification: UMB; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 226.
When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame. Yet, their black box means to do so make the practical users quite circumspect about relying on it, without much understanding of the how and why of its predictions. The question raised in this book is how can this ‘masked hero’ be made more comprehensible and friendly to the public: provide a surrogate model for its hidden optimization engine, replace the method completely or appoint a more friendly approach to tag along and ... Read more
Show LessProduct Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
138
Condition
New
Series
Intelligent Systems Reference Library
Number of Pages
122
Place of Publication
Cham, Switzerland
ISBN
9783319382432
SKU
V9783319382432
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Support Vector Machines and Evolutionary Algorithms for Classification
From the book reviews: “This book is intended for scholars, students, and developers who are interested and engaged in machine learning approaches and, particularly, in classification approaches via support vector machines (SVMs). … the book is recommended to those with advanced knowledge in machine learning and, in particular, SVMs as a hypothesis modeling classification approach. … the presentation of ... Read more