Nonlinear Knowledge-Based Classification

In this brief, prior knowledge over general nonlinear sets is incorporated into nonlinear kernel classification problems as linear constraints in a linear program. These linear constraints are imposed at arbitrary points, not necessarily where the prior knowledge is given. The key tool in this incor...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2008-10, Vol.19 (10), p.1826-1832
Hauptverfasser:	Mangasarian, O.L., Wild, E.W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Application software Applied sciences Artificial Intelligence Biological and medical sciences Cancer Classification Classifiers Computer science control theory systems Computer Simulation Exact sciences and technology Function approximation Inequalities Kernel Kernel classification Kernels Knowledge base Linear programming Medical sciences Models, Theoretical Neural networks Neural Networks (Computer) Nonlinear Dynamics Nonlinearity Numerical Analysis, Computer-Assisted Pattern Recognition, Automated - methods prior knowledge Programming, Linear Support vector machines theorem of the alternative Tumors
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