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A Modified Semi-Supervised Learning Algorithm on Laplacian EigenmapsZHAO, Zhong-Qiu; LI, Jun-Zhao; JUN GAO et al.Neural processing letters. 2010, Vol 32, Num 1, pp 75-82, issn 1370-4621, 8 p.Article

Semi-supervised learning by disagreementZHOU, Zhi-Hua; MING LI.Knowledge and information systems (Print). 2010, Vol 24, Num 3, pp 415-439, issn 0219-1377, 25 p.Conference Paper

Semi-supervised learning integrated with classifier combination for word sense disambiguationLE, Anh-Cuong; SHIMAZU, Akira; HUYNH, Van-Nam et al.Computer speech & language (Print). 2008, Vol 22, Num 4, pp 330-345, issn 0885-2308, 16 p.Article

Bagging, bumping, multiview, and active learning for record linkage with empirical results on patient identity dataSARIYAR, M; BORG, A.Computer methods and programs in biomedicine (Print). 2012, Vol 108, Num 3, pp 1160-1169, issn 0169-2607, 10 p.Article

A semi-supervised classification technique based on interacting forcesCUPERTINO, Thiago H; GUELERI, Roberto; LIANG ZHAO et al.Neurocomputing (Amsterdam). 2014, Vol 127, pp 43-51, issn 0925-2312, 9 p.Conference Paper

Ideal regularization for learning kernels from labelsBINBIN PAN; JIANHUANG LAI; LIXIN SHEN et al.Neural networks. 2014, Vol 56, pp 22-34, issn 0893-6080, 13 p.Article

A novel semi-supervised learning framework with simultaneous text representingYAN ZHU; JIAN YU; LIPING JING et al.Knowledge and information systems (Print). 2013, Vol 34, Num 3, pp 547-562, issn 0219-1377, 16 p.Article

Semi-Supervised Nonparametric Discriminant AnalysisXIANGLEI XING; SIDAN DU; HUA JIANG et al.IEICE transactions on information and systems. 2013, Vol 96, Num 2, pp 375-378, issn 0916-8532, 4 p.Article

Multiple-View Multiple-Learner Semi-Supervised LearningSHILIANG SUN; QINGJIU ZHANG.Neural processing letters. 2011, Vol 34, Num 3, pp 229-240, issn 1370-4621, 12 p.Article

Adaptive Learning for Celebrity Identification With Video ContextCHAO XIONG; GUANGYU GAO; ZHENGJUN ZHA et al.IEEE transactions on multimedia. 2014, Vol 16, Num 5, pp 1473-1485, issn 1520-9210, 13 p.Article

Safe semi-supervised learning based on weighted likelihoodKAWAKITA, Masanori; TAKEUCHI, Jun'ichi.Neural networks. 2014, Vol 53, pp 146-164, issn 0893-6080, 19 p.Article

Convergence rate of the semi-supervised greedy algorithmHONG CHEN; YICONG ZHOU; YUAN YAN TANG et al.Neural networks. 2013, Vol 44, pp 44-50, issn 0893-6080, 7 p.Article

Weakly Supervised Recognition of Daily Life Activities with Wearable SensorsSTIKIC, Maja; LARLUS, Diane; EBERT, Sandra et al.IEEE transactions on pattern analysis and machine intelligence. 2011, Vol 33, Num 12, pp 2521-2537, issn 0162-8828, 17 p.Article

Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognitionZHAO ZHANG; MINGBO ZHAO; CHOW, Tommy W. S et al.Neural networks. 2012, Vol 36, pp 97-111, issn 0893-6080, 15 p.Article

Multi-view constrained clustering with an incomplete mapping between viewsEATON, Eric; DESJARDINS, Marie; JACOB, Sara et al.Knowledge and information systems (Print). 2014, Vol 38, Num 1, pp 231-257, issn 0219-1377, 27 p.Article

Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised AssumptionsKE CHEN; SHIHAI WANG.IEEE transactions on pattern analysis and machine intelligence. 2011, Vol 33, Num 1, pp 129-143, issn 0162-8828, 15 p.Article

Semi-supervised learning based on high density region estimationHONGCHEN; LUOQINGLI; JIANGTAO PENG et al.Neural networks. 2010, Vol 23, Num 7, pp 812-818, issn 0893-6080, 7 p.Article

Hierarchical constraints Providing structural bias for hierarchical clusteringBADE, Korinna; NÜRNBERGER, Andreas.Machine learning. 2014, Vol 94, Num 3, pp 371-399, issn 0885-6125, 29 p.Article

Improve the performance of co-training by committee with refinement of class probability estimationsSHUANG WANG; LINSHENG WU; LICHENG JIAO et al.Neurocomputing (Amsterdam). 2014, Vol 136, pp 30-40, issn 0925-2312, 11 p.Article

Semi-supervised multi-graph hashing for scalable similarity searchJIAN CHENG; CONG LENG; PENG LI et al.Computer vision and image understanding (Print). 2014, Vol 124, pp 12-21, issn 1077-3142, 10 p.Article

Regularized Semi-Supervised Latent Dirichlet Allocation for visual concept learning : Intelligent Processing Techniques for Semantic-based Image and Video RetrievalLIANSHENG ZHUANG; HAOYUAN GAO; JIEBO LUO et al.Neurocomputing (Amsterdam). 2013, Vol 119, pp 26-32, issn 0925-2312, 7 p.Article

An RSVM based two-teachers―one-student semi-supervised learning algorithmCHANG, Chien-Chung; PAO, Hsing-Kuo; LEE, Yuh-Jye et al.Neural networks. 2012, Vol 25, pp 57-69, issn 0893-6080, 13 p.Article

Product Feature Grouping for Opinion MiningZHONGWU ZHAI; BING LIU; JINGYUAN WANG et al.IEEE intelligent systems. 2012, Vol 27, Num 4, pp 37-44, issn 1541-1672, 8 p.Article

Feature-based classification of native and non-native protein-protein interactions: Comparing supervised and semi-supervised learning approachesNAN ZHAO; BIN PANG; SHYU, Chi-Ren et al.Proteomics (Weinheim. Print). 2011, Vol 11, Num 22, pp 4321-4330, issn 1615-9853, 10 p.Article

Asymmetrical semi-supervised learning and prediction of disulfide connectivity in proteinsMAGNAN, Christophe N.Revue d'intelligence artificielle. 2006, Vol 20, Num 6, pp 673-695, issn 0992-499X, 23 p.Article

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