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Discrete component analysisBUNTINE, Wray; JAKULIN, Aleks.Lecture notes in computer science. 2006, pp 1-33, issn 0302-9743, isbn 3-540-34137-4, 1Vol, 33 p.Conference Paper

Sequential latent Dirichlet allocationLAN DU; BUNTINE, Wray; HUIDONG JIN et al.Knowledge and information systems (Print). 2012, Vol 31, Num 3, pp 475-503, issn 0219-1377, 29 p.Article

Variational extensions to EM and multinomial PCABUNTINE, Wray.Lecture notes in computer science. 2002, pp 23-34, issn 0302-9743, isbn 3-540-44036-4, 12 p.Conference Paper

Special Issue from ECML PKDD 2009KOŁCZ, Aleksander; MLADENIC, Dunja; BUNTINE, Wray et al.Machine learning. 2009, Vol 76, Num 2-3, issn 0885-6125, 112 p.Conference Proceedings

ALVIS : Superpeer semantic search engine -ECDL 2006 demo submissionPEDERSEN, Gert Schmeltz; ARDÖ, Anders; CROMME, Marc et al.Lecture notes in computer science. 2006, pp 461-462, issn 0302-9743, isbn 3-540-44636-2, 1Vol, 2 p.Conference Paper

Special Issue of Selected Papers of ACML 2012ZHOU, Zhi-Hua; LEE, Wee Sun; HOI, Steven C. H et al.Machine learning. 2013, Vol 92, Num 2-3, issn 0885-6125, 283 p.Serial Issue

A segmented topic model based on the two-parameter Poisson-Dirichlet processLAN DU; BUNTINE, Wray; HUIDONG JIN et al.Machine learning. 2010, Vol 81, Num 1, pp 5-19, issn 0885-6125, 15 p.Conference Paper

Exploration and exploitation of scratch gamesFÉRAUD, Raphaël; URVOY, Tanguy.Machine learning. 2013, Vol 92, Num 2-3, pp 377-401, issn 0885-6125, 25 p.Article

Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree SearchWEIJIA WANG; SEBAG, Michèle.Machine learning. 2013, Vol 92, Num 2-3, pp 403-429, 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

Conditional validity of inductive conformal predictorsVOVK, Vladimir.Machine learning. 2013, Vol 92, Num 2-3, pp 349-376, issn 0885-6125, 28 p.Article

On structured output training: hard cases and an efficient alternativeGÄRTNER, Thomas; VEMBU, Shankar.Machine learning. 2009, Vol 76, Num 2-3, pp 227-242, issn 0885-6125, 16 p.Conference Paper

Unsupervised Object Discovery: A ComparisonTUYTELAARS, Tinne; LAMPERT, Christoph H; BLASCHKO, Matthew B et al.International journal of computer vision. 2010, Vol 88, Num 2, pp 284-302, issn 0920-5691, 19 p.Article

Combining instance-based learning and logistic regression for multilabel classificationWEIWEI CHENG; HÜLLERMEIER, Eyke.Machine learning. 2009, Vol 76, Num 2-3, pp 211-225, issn 0885-6125, 15 p.Conference Paper

Hybrid least-squares algorithms for approximate policy evaluationJOHNS, Jeff; PETRIK, Marek; MAHADEVAN, Sridhar et al.Machine learning. 2009, Vol 76, Num 2-3, pp 243-256, issn 0885-6125, 14 p.Conference Paper

Modeling individual email patterns over time with latent variable modelsNAVAROLI, Nicholas; DUBOIS, Christopher; SMYTH, Padhraic et al.Machine learning. 2013, Vol 92, Num 2-3, pp 431-455, issn 0885-6125, 25 p.Article

A self-training approach to cost sensitive uncertainty samplingLIU, Alexander; JUN, Goo; GHOSH, Joydeep et al.Machine learning. 2009, Vol 76, Num 2-3, pp 257-270, issn 0885-6125, 14 p.Conference Paper

Bayesian object matchingKLAMI, Arto.Machine learning. 2013, Vol 92, Num 2-3, pp 225-250, issn 0885-6125, 26 p.Article

On using nearly-independent feature families for high precision and confidenceMADANI, Omid; GEORG, Manfred; ROSS, David et al.Machine learning. 2013, Vol 92, Num 2-3, pp 457-477, issn 0885-6125, 21 p.Article

Learning multi-linear representations of distributions for efficient inferenceROTH, Dan; SAMDANI, Rajhans.Machine learning. 2009, Vol 76, Num 2-3, pp 195-209, issn 0885-6125, 15 p.Conference Paper

Sparse kernel SVMs via cutting-plane trainingJOACHIMS, Thorsten; YU, Chun-Nam John.Machine learning. 2009, Vol 76, Num 2-3, pp 179-193, issn 0885-6125, 15 p.Conference Paper

Correlated topographic analysis: estimating an ordering of correlated componentsSASAKI, Hiroaki; GUTMANN, Michael U; SHOUNO, Hayaru et al.Machine learning. 2013, Vol 92, Num 2-3, pp 285-317, issn 0885-6125, 33 p.Article

Variational Bayesian sparse additive matrix factorizationNAKAJIMA, Shinichi; SUGIYAMA, Masashi; BABACAN, S. Derin et al.Machine learning. 2013, Vol 92, Num 2-3, pp 319-347, issn 0885-6125, 29 p.Article

Recovering networks from distance dataPRABHAKARAN, Sandhya; ADAMETZ, David; METZNER, Karin J et al.Machine learning. 2013, Vol 92, Num 2-3, pp 251-283, issn 0885-6125, 33 p.Article

Cost-sensitive learning based on Bregman divergencesSANTOS-RODRIGUEZ, Raúl; GUERRERO-CURIESES, Alicia; ALAIZ-RODRIGUEZ, Rocio et al.Machine learning. 2009, Vol 76, Num 2-3, pp 271-285, issn 0885-6125, 15 p.Conference Paper

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