abellogin's internship-09 [41 articles] Export Sort

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	Diversifying search results [My Copy] In WSDM '09: Proceedings of the Second ACM International Conference on Web Search and Data Mining (2009), pp. 5-14. by Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverson, Samuel Ieong posted to ir internship-09 by abellogin on 2009-10-12 11:24:51 as along with 6 people and 1 group mbrambil borkurdotnet katja pprett nliu82 derekhh ilps
	Recommendation Diversification Using Explanations [My Copy] Data Engineering, International Conference on, Vol. 0 (2009), pp. 1299-1302. by Cong Yu, Laks V. S. Lakshmanan, Sihem A. Yahia posted to recommender internship-09 explanation content-based collaborative-filtering by abellogin on 2009-10-05 16:47:36 as
	Sources of evidence for vertical selection [My Copy] In SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (2009), pp. 315-322. by Jaime Arguello, Fernando Diaz, Jamie Callan, Jean F. Crespo posted to sigir rank-aggregation language-models ir internship-09 distributed clarity aggregation by abellogin on 2009-10-04 16:12:56 as along with 3 people nliu82 MaineC eddymier
	Mining Association Rules between Sets of Items in Large Databases [My Copy] In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (FebruaryJune--FebruaryAugust~ 1993), pp. 207-216. by Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami edited by Peter Buneman, Sushil Jajodia posted to rules machine-learning internship-09 by abellogin on 2009-10-04 02:42:40 as along with 14 people jdu michaelmampaey radical bigga tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh Yanno
	Automatic labeling of multinomial topic models [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 490-499. by Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai posted to supervised-projection probabilistic-model plsa ontology nlp ngram lda language-models internship-09 entropy context clustering by abellogin on 2009-09-07 09:35:49 as along with 9 people and 1 group zhengyun kabus hanbei maximzhao briordan giacomo_inches AlisonBabeu markymaypo adamsi ARTFL
	Testing significance of features by lassoed principal components [My Copy] Annals of Applied Statistics, Vol. 2, No. 3. (2008), pp. 986-1012. by D. M. Witten, R. Tibshirani posted to sparsity pca lasso internship-09 feature-selection dimension-reduction code by abellogin on 2009-09-01 18:16:21 as
	Canonical Correlation Analysis: An Overview with Application to Learning Methods [My Copy] Neural Comput., Vol. 16, No. 12. (December 2004), pp. 2639-2664. by David R. Hardoon, Sandor R. Szedmak, John R. Shawe taylor posted to journal internship-09 dimension-reduction canonical-correlation-analysis by abellogin on 2009-08-25 19:32:55 as along with 4 people mdobrink markstoehr daniel51 zzb3886
	A tutorial on convex optimization II: duality and interior point methods [My Copy] American Control Conference, 2006 In American Control Conference, 2006 (2006), 11 pp.. by H. Hindi posted to survey internship-09 definition convex-optimization by abellogin on 2009-08-25 18:41:53 as
	A tutorial on convex optimization [My Copy] American Control Conference, 2004. Proceedings of the 2004 In American Control Conference, 2004. Proceedings of the 2004, Vol. 4 (2004), pp. 3252-3265 vol.4. by H. Hindi posted to survey internship-09 definition convex-optimization by abellogin on 2009-08-25 18:39:13 as along with 1 person jamborta
	Least Angle Regression [My Copy] (30 Jun 2004) by Bradley Efron, Trevor Hastie, Iain Johnstone, Robert Tibshirani posted to sparsity lasso journal internship-09 definition code by abellogin on 2009-08-25 18:30:27 as along with 2 people casutton donnachie
	Regularization and variable selection via the elastic net [My Copy] Journal of the Royal Statistical Society Series B, Vol. 67, No. 2. (April 2005), pp. 301-320. by Hui Zou, Trevor Hastie posted to sparsity lasso journal internship-09 group definition code by abellogin on 2009-08-25 18:22:37 as along with 1 person buyske
	Consistency of the group Lasso and multiple kernel learning [My Copy] (28 Jan 2008) by Francis Bach posted to sparsity non-parametric lasso internship-09 group convex-optimization code by abellogin on 2009-08-25 18:17:07 as
	Consistency of the Group Lasso and Multiple Kernel Learning [My Copy] J. Mach. Learn. Res., Vol. 9 (2008), pp. 1179-1225. by Francis R. Bach posted to lasso journal internship-09 group by abellogin on 2009-08-25 18:16:36 as
	The group lasso for logistic regression [My Copy] Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 70, No. 1. (February 2008), pp. 53-71. by Lukas Meier, Sara van de Geer, Peter Buhlmann posted to sparsity logistic-regression lasso journal internship-09 group code by abellogin on 2009-08-25 18:14:39 as along with 2 people buyske rdiaz
	The Adaptive Lasso and Its Oracle Properties [My Copy] Journal of the American Statistical Association, Vol. 101, No. 476. (December 2006), pp. 1418-1429. by Hui Zou posted to sparsity lasso journal internship-09 by abellogin on 2009-08-25 18:02:53 as
	Model selection and estimation in regression with grouped variables [My Copy] Journal of the Royal Statistical Society Series B, Vol. 68, No. 1. (February 2006), pp. 49-67. by Ming Yuan, Yi Lin posted to sparsity lasso journal internship-09 group by abellogin on 2009-08-23 00:08:43 as along with 3 people pikipiki eddymier mmunson
	Regression Shrinkage and Selection via the Lasso [My Copy] Journal of the Royal Statistical Society. Series B (Methodological), Vol. 58, No. 1. (1996), pp. 267-288. by Robert Tibshirani posted to sparsity lasso internship-09 definition code by abellogin on 2009-08-23 00:05:41 as along with 3 people ajbattle reconnie BrianTomasik
	Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices [My Copy] CoRR, Vol. abs/0905.0233 (2009) by John Wright, Arvind Ganesh, Shankar Rao, Yi Ma posted to svd sparsity pca internship-09 dimension-reduction by abellogin on 2009-08-20 16:06:42 as
	Sparse probabilistic projections [My Copy] In NIPS (2008), pp. 73-80. by Cédric Archambeau, Francis Bach edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, et al.Léon Bottou, Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted to sparsity probability-model pca internship-09 dimension-reduction by abellogin on 2009-08-19 10:52:51 as
	Supervised topic models [My Copy] In Advances in Neural Information Processing Systems 21 (2007) by David M. Blei, Jon D. Mcauliffe posted to supervised-projection lsi internship-09 by abellogin on 2009-08-18 13:57:44 as along with 3 people zhengyun mehrbod julianpan
	Supervised Semantic Indexing [My Copy] Advances in Information Retrieval (2009), pp. 761-765. by Bing Bai, Jason Weston, Ronan Collobert, David Grangier posted to supervised-projection lsi internship-09 ecir by abellogin on 2009-08-18 13:54:27 as
	Sparse Principal Components Analysis [My Copy] (28 Jan 2009) by Iain M. Johnstone, Arthur Y. Lu posted to sparsity pca internship-09 by abellogin on 2009-08-12 11:28:43 as
	Sparse Principal Component Analysis [My Copy] (2004) by H. Zou, T. Hastie, R. Tibshirani posted to svd sparsity pca lasso internship-09 em-algorithm dimension-reduction by abellogin on 2009-08-12 11:23:05 as
	Sparse Principal Component Analysis [My Copy] Journal of Computational and Graphical Statistics, Vol. 15, No. 2. (2006), pp. 265-286. by Hui Zou, Trevor Hastie, Robert Tibshirani posted to svd sparsity pca lasso journal internship-09 dimension-reduction by abellogin on 2009-08-12 11:15:27 as
	Learning with Structured Sparsity [My Copy] (5 May 2009) by Junzhou Huang, Tong Zhang, Dimitris Metaxas posted to sparsity internship-09 graph by abellogin on 2009-08-12 11:14:04 as
	Learning with structured sparsity [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 417-424. by Junzhou Huang, Tong Zhang, Dimitris Metaxas posted to sparsity internship-09 graph em-algorithm by abellogin on 2009-08-12 11:11:10 as
	Some sharp performance bounds for least squares regression with L1 regularization [My Copy] Ann. Statist., Vol. 37, No. 5A. (2009), pp. 2109-2144. by Tong Zhang posted to sparsity lasso journal internship-09 by abellogin on 2009-08-12 11:08:38 as
	Multi-label informed latent semantic indexing [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 258-265. by Kai Yu, Shipeng Yu, Volker Tresp posted to supervised-projection sigir pca lsi internship-09 em-algorithm dimension-reduction by abellogin on 2009-08-12 11:02:17 as along with 3 people and 1 group pprett cnjieyang egibaja Multilabel Classification
	Bayesian Co-Training [My Copy] In NIPS (2007) by Shipeng Yu, Balaji Krishnapuram, Rómer Rosales, Harald Steck, R. Bharat Rao edited by John C. Platt, Daphne Koller, Yoram Singer, et al.Sam T. Roweis, John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis posted to internship-09 probabilistic-model supervised-projection by abellogin on 2009-08-10 13:02:23 as
	Supervised learning from multiple experts: whom to trust when everyone lies a bit [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 889-896. by Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, et al.Anna Jerebko, Charles Florin, Gerardo H. Valadez, Luca Bogoni, Linda Moy posted to expert internship-09 machine-learning supervised-projection trust by abellogin on 2009-08-10 13:01:39 as along with 2 people AlisonBabeu nliu82
	Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering [My Copy] ACM Trans. Knowl. Discov. Data, Vol. 3, No. 1. (2009), pp. 1-58. by Hans P. Kriegel, Peer Kröger, Arthur Zimek posted to clustering internship-09 journal supervised-projection survey by abellogin on 2009-08-10 13:01:02 as along with 1 person zhengyun
	Extracting shared subspace for multi-label classification [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 381-389. by Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye posted to classifier internship-09 supervised-projection by abellogin on 2009-08-10 13:00:05 as along with 2 people and 1 group Mohan-S jread82 Multilabel Classification
	Supervised Latent Semantic Indexing using Adaptive Sprinkling [My Copy] In In IJCAI (2007) by Sutanu Chakraborti, Rahman Mukras, Robert Lothian, Nirmalie Wiratunga, Stuart Watt, David Harper posted to classifier evaluation internship-09 lsi supervised-projection svm by abellogin on 2009-08-09 18:55:31 as
	A Novel Scalable Algorithm for Supervised Subspace Learning [My Copy] Data Mining, IEEE International Conference on In Sixth International Conference on Data Mining (ICDM'06), Vol. 0 (December 2006), pp. 721-730. by Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen posted to classifier internship-09 pca supervised-projection by abellogin on 2009-08-09 18:52:49 as
	Supervised probabilistic principal component analysis [My Copy] In the 12th ACM SIGKDD international conference (2006), pp. 464-473. by Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu posted to uncertainty survey supervised-projection probabilistic-model pca internship-09 em-algorithm dimension-reduction by abellogin on 2009-08-09 18:44:42 as along with 1 person bcao
	Collaborative filtering via gaussian probabilistic latent semantic analysis [My Copy] In SIGIR '03: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval (2003), pp. 259-266. by Thomas Hofmann posted to sigir probabilistic-model plsa lsi internship-09 em-algorithm collaborative-filtering by abellogin on 2009-08-09 18:41:50 as along with 5 people lzhlynn zhaomin eastkim dtsamis imrchen
	Portfolio theory of information retrieval [My Copy] In SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval (2009), pp. 115-122. by Jun Wang, Jianhan Zhu posted to uncertainty sigir ranking probability-model portfolio-theory language-models ir internship-09 economy by abellogin on 2009-07-29 11:13:17 as along with 1 person jhe
	Mean-Variance Analysis: A New Document Ranking Theory in Information Retrieval [My Copy] Advances in Information Retrieval (2009), pp. 4-16. by Jun Wang posted to collaborative-filtering ecir economy internship-09 ir language-models probability-model ranking uncertainty by abellogin on 2009-07-29 11:12:39 as along with 3 people macle jhe flashfonic
	Latent semantic models for collaborative filtering [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 89-115. by Thomas Hofmann posted to svd probability-model plsa lsi journal ir internship-09 em-algorithm dimension-reduction collaborative-filtering clustering by abellogin on 2008-11-05 14:11:21 as along with 20 people and 5 groups akshayk clickstone briordan zhaomin jamborta mdreid eastkim accessrajesh sergiolopez pprett ldietz horeis sids anon_pl macle ocelma ransombriggs imrchen zhangl adamsi Statistical Machine Learning Adaptive-Web CompIntelligentSystems MTG oktave-labs
	Unsupervised Learning by Probabilistic Latent Semantic Analysis [My Copy] Machine Learning, Vol. V42, No. 1. (1 January 2001), pp. 177-196. by Thomas Hofmann posted to clustering dimension-reduction internship-09 ir journal lsi machine-learning plsa probability-model svd by abellogin on 2008-08-26 22:02:44 as along with 2 people and 1 group yinghua77 ericlindahl DecisionSupportTheory
	Probabilistic latent semantic indexing [My Copy] In SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (1999), pp. 50-57. by Thomas Hofmann posted to definition dimension-reduction internship-09 ir lsi plsa probability-model sigir svd by abellogin on 2007-11-19 12:05:19 as along with 16 people and 4 groups statistic01 codex pprett geomblog jelsas adg creswick bfraser danieltruemper shilad Phanix xiaoyan2006 fwkroon josepe ykuoka ejmeij LanguageModeling ilps GroupLens VT_DLRL

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