Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training

Sequential Minimal Optimization (SMO) can be regarded as the state-of-the-art approach in non-linear Support Vector Machines training, being the method of choice in the successful LIBSVM software. Its optimization procedure is based on updating only a couple of the problem coefficients per iteration...

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Bibliographische Detailangaben

Hauptverfasser:	Barbero, Alvaro, Dorronsoro, Jose R.
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Convergence Equations Kernel Optimization Signal processing algorithms Support vector machines Training
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