Partially linear support vector machines applied to the prediction of mine slope movements

Mathematical and Computer Modelling

Volumn 51, Issue 3-4, 2010, Pages 206-215

  Matias J M ^a   Taboada, J ^a   Ordonez C ^a   Gonzalez Manteiga W ^b  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Autoregressive models; Mining safety; Partially linear models; Prediction; SVM

Indexed keywords

AUTO REGRESSIVE MODELS; AUTO-REGRESSIVE; KERNEL DISCRIMINANT ANALYSIS; KERNEL METHODS; KERNEL PRINCIPAL COMPONENT; LINEAR COMPONENTS; LINEAR KERNEL; LINEAR SUPPORT VECTOR MACHINES; MINING OPERATIONS; MINING SAFETY; NON-PARAMETRIC; NONLINEAR KERNELS; PARTIALLY LINEAR MODELS;

DISCRIMINANT ANALYSIS; FACE RECOGNITION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MINING; PRINCIPAL COMPONENT ANALYSIS;

SUPPORT VECTOR MACHINES;

EID: 72149130269     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2009.08.036     Document Type: Article

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