Kernel based algorithms for mining huge data sets. Supervised, semi-supervised, and unsupervised learning.

zbMath1138.68493MaRDI QIDQ819934

Vojislav Kecman, Ivica Kopriva, Te-Ming Huang

Publication date: 3 April 2006

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

zbMATH Keywords

Independent Component AnalysisPrincipal Component Analysis

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Hemorrhage detection and segmentation in traumatic pelvic injuries ⋮ Ensemble Kalman filtering for non-linear likelihood models using kernel-shrinkage regression techniques ⋮ Incremental template updating for face recognition in home environments ⋮ A meaning based information theory - informalogical space: basic concepts and convergence of information sequences ⋮ Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning

Uses Software

• Matlab
• SVMlight

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