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kw.\*:("Empirical risk minimization")

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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

On the Stability of Empirical Risk Minimization in the Presence of Multiple Risk MinimizersRUBINSTEIN, Benjamin I. P; SIMMA, Aleksandr.IEEE transactions on information theory. 2012, Vol 58, Num 7, pp 4160-4163, issn 0018-9448, 4 p.Article

On the choice of effectiveness measures for learning to rankYILMAZ, Emine; ROBERTSON, Stephen.Information retrieval (Boston). 2010, Vol 13, Num 3, pp 271-290, issn 1386-4564, 20 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

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

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

Learning With Kernel Smoothing Models and Low-Discrepancy SamplingCERVELLERA, Cristiano; MACCIO, Danilo.IEEE transactions on neural networks and learning systems (Print). 2013, Vol 24, Num 3, pp 504-509, issn 2162-237X, 6 p.Article

Optimality and stability of the K-hyperline clustering algorithmTHIAGARAJAN, Jayaraman J; RAMAMURTHY, Karthikeyan N; SPANIAS, Andreas et al.Pattern recognition letters. 2011, Vol 32, Num 9, pp 1299-1304, issn 0167-8655, 6 p.Article

K-Dimensional Coding Schemes in Hilbert SpacesMAURER, Andreas; PONTIL, Massimiliano.IEEE transactions on information theory. 2010, Vol 56, Num 11, pp 5839-5846, issn 0018-9448, 8 p.Article

The theoretical fundamentals of learning theory based on fuzzy complex random samplesMINGHU HA; PEDRYCZ, Witold; LIFANG ZHENG et al.Fuzzy sets and systems. 2009, Vol 160, Num 17, pp 2429-2441, issn 0165-0114, 13 p.Article

Nonparametric regression estimation by normalized radial basis function networksKRZYZAK, Adam; SCHÄFER, Dominik.IEEE transactions on information theory. 2005, Vol 51, Num 3, pp 1003-1010, issn 0018-9448, 8 p.Article

Sharp Oracle Inequalities for High-Dimensional Matrix PredictionGAIFFAS, Stéphane; LECUE, Guillaume.IEEE transactions on information theory. 2011, Vol 57, Num 10, pp 6942-6957, issn 0018-9448, 16 p.Article

Covering Numbers for Convex FunctionsGUNTUBOYINA, Adityanand; SEN, Bodhisattva.IEEE transactions on information theory. 2013, Vol 59, Num 4, pp 1957-1965, issn 0018-9448, 9 p.Article

Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function ClassesCHAO ZHANG; WEI BIAN; DACHENG TAO et al.IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 9, pp 1461-1472, issn 2162-237X, 12 p.Article

Lattice Point Sets for Deterministic Learning and Approximate Optimization ProblemsCERVELLERA, Cristiano.IEEE transactions on neural networks. 2010, Vol 21, Num 4, pp 687-692, issn 1045-9227, 6 p.Article

On the Performance of Clustering in Hilbert SpacesBIAU, Gérard; DEVROYE, Luc; LUGOSI, Gabor et al.IEEE transactions on information theory. 2008, Vol 54, Num 2, pp 781-790, issn 0018-9448, 10 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

Greedy regression in sparse coding space for single-image super-resolutionYI TANG; YUAN YUAN; PINGKUN YAN et al.Journal of visual communication and image representation. 2013, Vol 24, Num 2, pp 148-159, issn 1047-3203, 12 p.Article

Density estimation with stagewise optimization of the empirical riskKLEMELÄ, Jussi.Machine learning. 2007, Vol 67, Num 3, pp 169-195, issn 0885-6125, 27 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

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

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

Segmented Compressed Sampling for Analog-to-Information Conversion: Method and Performance AnalysisTAHERI, Omid; VOROBYOV, Sergiy A.IEEE transactions on signal processing. 2011, Vol 59, Num 2, pp 554-572, issn 1053-587X, 19 p.Article

Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov ChainsCHAO ZHANG; DACHENG TAO.IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 12, pp 1872-1883, issn 2162-237X, 12 p.Article

Constrained Empirical Risk Minimization Framework for Distance Metric LearningWEI BIAN; DACHENG TAO.IEEE transactions on neural networks and learning systems (Print). 2012, Vol 23, Num 8, pp 1194-1205, issn 2162-237X, 12 p.Article

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