kw.\*:("Minimización del riesgo empírico")
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Almost optimal estimates for approximation and learning by radial basis function networksSHAOBO LIN; XIA LIU; YUANHUA RONG et al.Machine learning. 2014, Vol 95, Num 2, pp 147-164, issn 0885-6125, 18 p.Article
Ranking data with ordinal labels: optimality and pairwise aggregationCLEMENCON, Stéphan; ROBBIANO, Sylvain; VAYATIS, Nicolas et al.Machine learning. 2013, Vol 91, Num 1, pp 67-104, issn 0885-6125, 38 p.Article
An improved v-twin support vector machineYITIAN XU; RUI GUO.Applied intelligence (Boston). 2014, Vol 41, Num 1, pp 42-54, issn 0924-669X, 13 p.Article
A Comparison of Some Approaches to Classification Problems, and Possibilities to Construct Optimal Solutions EfficientlyZHURAVLEV, Yu. I; LAPTIN, Yu. P; VINOGRADOV, A. P et al.Pattern recognition and image analysis. 2014, Vol 24, Num 2, pp 189-195, issn 1054-6618, 7 p.Article
Multi-stage classifier designTRAPEZNIKOV, Kirill; SALIGRAMA, Venkatesh; CASTAÑÓN, David et al.Machine learning. 2013, Vol 92, Num 2-3, pp 479-502, issn 0885-6125, 24 p.Article
Smooth approximation method for non-smooth empirical risk minimization based distance metric learningYA SHI; HONGBING JI.Neurocomputing (Amsterdam). 2014, Vol 127, pp 135-143, issn 0925-2312, 9 p.Article
Efficient facial landmark localization using spatial-contextual AdaBoost algorithmSUNGJIN HONG; SARANG KHIM; PHILL KYU RHEE et al.Journal of visual communication and image representation (Print). 2014, Vol 25, Num 6, pp 1366-1377, issn 1047-3203, 12 p.Article
Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimizationHÜLLERMEIER, Eyke.International journal of approximate reasoning. 2014, Vol 55, Num 7, pp 1519-1534, issn 0888-613X, 16 p.Article