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Multi-label classification based on analog reasoningNICOLAS, Ruben; SANCHO-ASENSIO, Andreu; GOLOBARDES, Elisabet et al.Expert systems with applications. 2013, Vol 40, Num 15, pp 5924-5931, issn 0957-4174, 8 p.Article

Orthogonality-based label correction in multi-class classificationXUE, H; CHEN, S.Electronics letters. 2013, Vol 49, Num 12, pp 754-756, issn 0013-5194, 3 p.Article

New One Versus AllOne method: NOV@ARRUTI, A; MENDIALDUA, I; SIERRA, B et al.Expert systems with applications. 2014, Vol 41, Num 14, pp 6251-6260, issn 0957-4174, 10 p.Article

Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass EstimationGONZALEZ, Pablo; ALVAREZ, Eva; BARRANQUERO, Jose et al.IEEE transactions on neural networks and learning systems (Print). 2013, Vol 24, Num 11, pp 1901-1905, issn 2162-237X, 5 p.Article

A novel trust measurement method based on certified belief in strength for a multi-agent classifier systemMOHAMMED FALAH MOHAMMED; CHEE PENG LIM; QUTEISHAT, Anas et al.Neural computing & applications (Print). 2014, Vol 24, Num 2, pp 421-429, issn 0941-0643, 9 p.Article

Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decompositionSAEZ, José A; GALAR, Mikel; LUENGO, Julián et al.Knowledge and information systems (Print). 2014, Vol 38, Num 1, pp 179-206, issn 0219-1377, 28 p.Article

Beamspace Root-MUSIC Algorithm for Joint DOD DOA Estimation in Bistatic MIMO RadarGUIMEI ZHENG.Wireless personal communications. 2014, Vol 75, Num 4, pp 1879-1889, issn 0929-6212, 11 p.Article

Modified minimum squared error algorithm for robust classification and face recognition experimentsYONG XUA; XIAOZHAO FANG; QI ZHU et al.Neurocomputing (Amsterdam). 2014, Vol 135, pp 253-261, issn 0925-2312, 9 p.Article

A theoretical and empirical analysis of support vector machine methods for multiple-instance classificationDORAN, Gary; RAY, Soumya.Machine learning. 2014, Vol 97, Num 1-2, pp 79-102, issn 0885-6125, 24 p.Article

Multiple instance classification: Review, taxonomy and comparative studyAMORES, Jaume.Artificial intelligence (General ed.). 2013, Vol 201, pp 81-105, issn 0004-3702, 25 p.Article

Measuring stability of feature ranking techniques: a noise-based approachALTIDOR, Wilker; KHOSHGOFTAAR, Taghi M; NAPOLITANO, Amri et al.International journal of business intelligence and data mining (Print). 2012, Vol 7, Num 1-2, pp 80-115, issn 1743-8187, 36 p.Article

Specific Random Trees for Random ForestZHI LIU; ZHAOCAI SUN; HONGJUN WANG et al.IEICE transactions on information and systems. 2013, Vol 96, Num 3, pp 739-741, issn 0916-8532, 3 p.Article

Facial Age Estimation by Learning from Label DistributionsXIN GENG; CHAO YIN; ZHOU, Zhi-Hua et al.IEEE transactions on pattern analysis and machine intelligence. 2013, Vol 35, Num 10, pp 2401-2412, issn 0162-8828, 12 p.Article

Two-stage learning for multi-class classification using genetic programmingJABEEN, Hajira; BAIG, Abdul Rauf.Neurocomputing (Amsterdam). 2013, Vol 116, pp 311-316, issn 0925-2312, 6 p.Article

A generic model of multi-class support vector machineGUERMEUR, Yann.International journal of intelligent information and database systems (Print). 2012, Vol 6, Num 6, pp 555-577, issn 1751-5858, 23 p.Conference Paper

Classification in the Presence of Label Noise: a SurveyFRENAY, Benoît; VERLEYSEN, Michel.IEEE transactions on neural networks and learning systems (Print). 2014, Vol 25, Num 5, pp 845-869, issn 2162-237X, 25 p.Article

mPadal: a joint local-and-global multi-view feature selection method for activity recognitionWANQI YANG; YANG GAO; LONGBING CAO et al.Applied intelligence (Boston). 2014, Vol 41, Num 3, pp 776-790, issn 0924-669X, 15 p.Article

Analysis of data complexity measures for classificationCANO, José-Ramón.Expert systems with applications. 2013, Vol 40, Num 12, pp 4820-4831, issn 0957-4174, 12 p.Article

Divergence-based feature selection for separate classesYISHI ZHANG; SHUJUAN LI; TENG WANG et al.Neurocomputing (Amsterdam). 2013, Vol 101, pp 32-42, issn 0925-2312, 11 p.Article

Consistent Latent Position Estimation and Vertex Classification for Random Dot Product GraphsSUSSMAN, Daniel L; MINH TANG; PRIEBE, Carey E et al.IEEE transactions on pattern analysis and machine intelligence. 2014, Vol 36, Num 1, pp 48-57, issn 0162-8828, 10 p.Article

Multicategory large margin classification methods: Hinge losses vs. coherence functionsZHIHUA ZHANG; CHENG CHEN; GUANG DAI et al.Artificial intelligence (General ed.). 2014, Vol 215, pp 55-78, issn 0004-3702, 24 p.Article

Diversity measures for one-class classifier ensemblesKRAWCZYK, Bartosz; WOZNIAK, Michał.Neurocomputing (Amsterdam). 2014, Vol 126, pp 36-44, issn 0925-2312, 9 p.Conference Paper

The fuzzy Laplacian classifierDAI, Hong-Liang.Neurocomputing (Amsterdam). 2013, Vol 111, pp 43-53, issn 0925-2312, 11 p.Article

I Want to Know More—Efficient Multi-Class Incremental Learning Using Gaussian ProcessesLÜTZ, A; RODNER, E; DENZLER, J et al.Pattern recognition and image analysis. 2013, Vol 23, Num 3, pp 402-407, issn 1054-6618, 6 p.Conference Paper

A Fast Multiclass Classification Algorithm Based on Cooperative ClusteringCHUANHUAN YIN; XIANG ZHAO; SHAOMIN MU et al.Neural processing letters. 2013, Vol 38, Num 3, pp 389-402, issn 1370-4621, 14 p.Article

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