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2002, Adaptive computation and machine learning., ISBN 0262194759, xviii, 626
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave... 
Algorithms | Kernel functions | Mathematical optimization | Machine learning | Computing and Processing | Support vector machines
Book
2016, Chapman & Hall/CRC handbooks of modern statistical methods, ISBN 9781482253016, xviii, 684 pages
Handbook of Spatial Epidemiology explains how to model epidemiological problems and improve inference about disease etiology from a geographical perspective.... 
Spatial Analysis | Epidemiologic Methods | Medical geography | Epidemiology | Medicine: General Issues | Statistical Theory & Methods
Book
2016, Developments in mathematics, ISBN 9811005303, Volume 44
Web Resource
2007, ISBN 9780262026178, viii, 348
Book
2010, Adaptive and learning systems for signal processing, communication, and control, ISBN 9780470447536, xxi, 209
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for... 
Waves & Wave Mechanics | Science | Kernel functions | Adaptive filters
Book
2009, 1. Aufl., ISBN 0470722118, xxix, 403 p., [6] p. of plates
Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the... 
Remote sensing | Support vector machines
Book
Discrete Mathematics, ISSN 0012-365X, 03/2018, Volume 341, Issue 3, pp. 638 - 651
Let be a digraph. A subset is - if the distance between every pair of vertices of is at least , and it is - if for every vertex in there exists such that the... 
[formula omitted]-kernel | Kernel-perfect digraph | Kernel | (k,l)-kernel | k-kernel | MATHEMATICS | QUASI-TRANSITIVE DIGRAPHS | (k, l)-kernel | K-KERNELS
Journal Article
2016, Cambridge studies in advanced mathematics, ISBN 9781107104099, Volume 152
Web Resource
Methods in Ecology and Evolution, ISSN 2041-210X, 2014, Volume 5, Issue 11, pp. 1170 - 1179
Journal Article
Journal Article
Information Sciences, ISSN 0020-0255, 02/2014, Volume 257, pp. 70 - 80
Kernel learning is becoming an important research topic in the area of machine learning, and it has wide applications in pattern recognition, computer vision,... 
Kernel discriminant analysis | Kernel self-optimization | Kernel principal component analysis | Data-dependent kernel | Kernel locality preserving projection | Kernel method | DISCRIMINANT-ANALYSIS | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
2000, Advances in neural information processing systems, ISBN 0262194481, vi, 412
Book