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	Hilbert space embeddings of conditional distributions with applications to dynamical systems [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 961-968. by Le Song, Jonathan Huang, Alex Smola, Kenji Fukumizu posted to probability kernel-method icml hilbert-space by memming on 2009-12-01 16:14:16 as along with 1 person daniel51
	Active learning via transductive experimental design [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 1081-1088. by Kai Yu, Jinbo Bi, Volker Tresp posted to icml experimental_design active_learning 2006 by nliu82 on 2009-10-19 03:17:22 as
	Uncertainty sampling and transductive experimental design for active dual supervision [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 953-960. by Vikas Sindhwani, Prem Melville, Richard D. Lawrence posted to icml experimental_design active_learning 2008 by nliu82 on 2009-10-19 03:15:26 as
	Listwise approach to learning to rank: theory and algorithm [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1192-1199. by Fen Xia, Tie Y. Liu, Jue Wang, Wensheng Zhang, Hang Li posted to ranking listwise icml 2008 by nliu82 on 2009-10-08 07:58:06 as along with 1 person alexeigor
	A dual coordinate descent method for large-scale linear SVM [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 408-415. by Cho J. Hsieh, Kai W. Chang, Chih J. Lin, Sathiya S. Keerthi, S. Sundararajan posted to svm optimization icml 2007 by nliu82 on 2009-09-25 11:00:01 as along with 2 people kazennikov eddymier
	Solving large scale linear prediction problems using stochastic gradient descent algorithms [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 116. by Tong Zhang posted to stochastic_learning optimization icml 2004 by nliu82 on 2009-09-25 10:59:51 as along with 4 people and 1 group pprett mdreid wcohen coleslaw Statistical Machine Learning
	Relational clustering by symmetric convex coding [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 569-576. by Bo Long, Zhongfei M. Zhang, Xiaoyun Wu, Philip S. Yu posted to unsupervised relational_learning icml 2007 by nliu82 on 2009-09-16 04:19:57 as
	Learning spectral graph transformations for link prediction [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 561-568. by Jérôme Kunegis, Andreas Lommatzsch posted to link_prediction icml graph_mining 2009 by nliu82 on 2009-09-16 02:40:27 as
	Decision tree and instance-based learning for label ranking [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 161-168. by Weiwei Cheng, Jens Hühn, Eyke Hüllermeier posted to ranking multi_label icml 2009 by nliu82 on 2009-09-15 03:40:10 as
	A quasi-Newton approach to non-smooth convex optimization [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1216-1223. by Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph posted to optimization non-smooth icml 2008 by nliu82 on 2009-09-14 03:09:07 as along with 1 person bamberg
	Pegasos: Primal Estimated sub-GrAdient SOlver for SVM [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 807-814. by Shai S. Shwartz, Yoram Singer, Nathan Srebro posted to svm optimization icml 2007 by nliu82 on 2009-09-12 12:18:31 as along with 9 people downer hazen kazennikov kabus librain pprett eddymier liefengbo daniel51
	Experimental perspectives on learning from imbalanced data [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 935-942. by Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano posted to imbalanced_data icml 2007 by nliu82 on 2009-09-12 11:53:47 as along with 3 people donghai haiyeong liuxy
	Learning random walks to rank nodes in graphs [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 9-16. by Alekh Agarwal, Soumen Chakrabarti posted to ranking icml 2007 by nliu82 on 2009-09-11 16:04:04 as along with 1 person ChaTo
	Detecting Concept Drift with Support Vector Machines [My Copy] In ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning (2000), pp. 487-494. by Ralf Klinkenberg, Thorsten Joachims posted to icml concept_drift 2000 by nliu82 on 2009-09-08 17:18:53 as
	Using additive expert ensembles to cope with concept drift [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 449-456. by Jeremy Z. Kolter, Marcus A. Maloof posted to icml ensemble concept_drift 2009 by nliu82 on 2009-09-06 14:00:00 as
	Ranking with ordered weighted pairwise classification [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 1057-1064. by Nicolas Usunier, David Buffoni, Patrick Gallinari posted to ranking pairwise icml 2009 by nliu82 on 2009-09-03 03:42:21 as
	Bayesian inference for Plackett-Luce ranking models [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 377-384. by John Guiver, Edward Snelson posted to ranking listwise icml 2009 by nliu82 on 2009-09-03 03:41:38 as
	Simple, robust, scalable semi-supervised learning via expectation regularization [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 593-600. by Gideon S. Mann, Andrew Mccallum posted to semi_supervised_learning icml 2009 by nliu82 on 2009-09-02 07:15:53 as
	Learning from measurements in exponential families [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 641-648. by Percy Liang, Michael I. Jordan, Dan Klein posted to weak_supervision icml 2009 by nliu82 on 2009-09-02 06:49:32 as along with 1 person vlachmore
	Restricted Boltzmann machines for collaborative filtering [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 791-798. by Ruslan Salakhutdinov, Andriy Mnih, Geoffrey Hinton posted to rbm netflix-prize icml collaborative-filtering by clickstone to the group Resys on 2009-09-01 16:56:43 as along with 15 people panisson nliu82 maximzhao imrchen dtsamis ChenxingYang bmichel austincarp zhanwei zheaton creswick lfriedl dwf danejensen Tobu
	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 multi_teacher icml 2009 by nliu82 on 2009-09-01 16:54:41 as along with 2 people AlisonBabeu abellogin
	Good learners for evil teachers [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 233-240. by Ofer Dekel, Ohad Shamir posted to multi_teacher icml 2009 by nliu82 on 2009-09-01 16:49:30 as
	Multi-view clustering via canonical correlation analysis [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 129-136. by Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu, Karthik Sridharan posted to unsupervised multi_view icml 2009 by nliu82 on 2009-09-01 16:36:41 as
	Non-linear matrix factorization with Gaussian processes [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 601-608. by Neil D. Lawrence, Raquel Urtasun posted to matrix_factorization icml gaussian_process collaborative_filtering 2009 by nliu82 on 2009-09-01 12:43:12 as along with 1 person nurban
	Bayesian probabilistic matrix factorization using Markov chain Monte Carlo [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 880-887. by Ruslan Salakhutdinov, Andriy Mnih posted to netflix matrix icml 2009 by nliu82 on 2009-09-01 12:42:28 as along with 1 person dpl33
	Self-taught learning: transfer learning from unlabeled data [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 759-766. by Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, Andrew Y. Ng posted to transfor self-taught learning icml 2007 by maximzhao on 2009-09-01 03:45:23 as along with 6 people jdu kgajos wbeaver donghai amargoli mmunson
	Learning dictionaries of stable autoregressive models for audio scene analysis [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 169-176. by Youngmin Cho, Lawrence K. Saul posted to words sisc icml autoregressive audio 2009 by maximzhao on 2009-08-27 05:51:01 as
	Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 609-616. by Honglak Lee, Roger Grosse, Rajesh Ranganath, Andrew Y. Ng posted to unsupervised scalable representation learning icml 09 by lzhlynn on 2009-08-21 08:12:18 as
	Dynamic topic models [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 113-120. by David M. Blei, John D. Lafferty posted to topic model icml dynamic 2006 by maximzhao on 2009-08-16 14:37:22 as along with 12 people and 2 groups asterix77 newpoo jhe adamsi briordan markymaypo kohei-h mshafiei weiwu julianpan cbosuna ldietz ARTFL pim
	Fully distributed EM for very large datasets [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1184-1191. by Jason Wolfe, Aria Haghighi, Dan Klein posted to 2008 distributed_computing icml machine_learning mapreduce by nliu82 on 2009-08-06 16:06:36 as along with 3 people EmreSevinc daniel51 zhaomin
	A kernel view of the dimensionality reduction of manifolds [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 47. by Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf posted to 2004 dimensionality_reduction icml kernel manifold by nliu82 on 2009-07-22 15:39:43 as along with 4 people singhsh fabgoos sdvillal gane5h
	Predicting diverse subsets using structural SVMs [My Copy] In ICML, Vol. 307 (2008), pp. 1224-1231. by Yisong Yue, Thorsten Joachims edited by William W. Cohen, Andrew Mccallum, Sam T. Roweis, William W. Cohen, Andrew Mccallum, Sam T. Roweis posted to 2008 diversity icml ranking by nliu82 on 2009-06-12 16:20:23 as along with 2 people jhe pprett
	Higher order learning with graphs [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 17-24. by Sameer Agarwal, Kristin Branson, Serge Belongie posted to 2006 high_order hypergraph icml by nliu82 on 2009-04-24 08:48:10 as along with 2 people and 1 group winterstream augusto AIRgroup
	Unifying collaborative and content-based filtering [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 9. by Justin Basilico, Thomas Hofmann posted to icml hybrid_cf collaborative_filtering 2004 by nliu82 on 2009-04-17 08:52:01 as along with 7 people and 3 groups aharpale JamesChien accessrajesh anna_riccioni horeis shilad cpcreed Adaptive-Web GroupLens CompIntelligentSystems
	A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models [My Copy] In ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning (2000), pp. 543-550. by Cen Li, Gautam Biswas posted to hmm icml trajectory_clustering by jrodriguez on 2009-03-20 12:01:43 as
	Selecting typical instances in instance-based learning [My Copy] In ML92: Proceedings of the ninth international workshop on Machine learning (1992), pp. 470-479. by Jianping Zhang posted to 1992 icml nearest-neighbor typical-instances by donghai on 2009-03-16 11:45:22 as
	On the relation between multi-instance learning and semi-supervised learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 1167-1174. by Zhi-Hua Zhou, Jun-Ming Xu posted to 2007 icml multi-instance semi-supervised by donghai on 2009-02-20 12:17:12 as along with 1 person asterix77
	On the value of pairwise constraints in classification and consistency [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 1111-1118. by Jian Zhang, Rong Yan posted to 2007 classification icml pairwise-constraint by donghai on 2009-02-20 12:15:54 as
	Boosting for transfer learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 193-200. by Wenyuan Dai, Qiang Yang, Gui R. Xue, Yong Yu posted to 2007 boosting icml transferlearning by donghai on 2009-02-20 12:07:36 as along with 3 people jdu nliu82 jekky
	Optimizing estimated loss reduction for active sampling in rank learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 248-255. by Pinar Donmez, Jaime G. Carbonell posted to 2008 active_learning icml rank_learning by donghai on 2009-02-20 12:01:22 as along with 1 person katja
	On multi-view active learning and the combination with semi-supervised learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1152-1159. by Wei Wang, Zhi H. Zhou posted to 2008 active_learning icml multi-view semi-supervised by donghai on 2009-02-20 11:59:04 as along with 1 person Mohan-S
	Hierarchical sampling for active learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 208-215. by Sanjoy Dasgupta, Daniel Hsu posted to 2008 active_learning icml by donghai on 2009-02-19 10:14:26 as along with 1 person Mohan-S
	Active reinforcement learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 296-303. by Arkady Epshteyn, Adam Vogel, Gerald Dejong posted to 2008 active_learning icml by donghai on 2009-02-19 10:08:00 as
	Active kernel learning [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 400-407. by Steven C. H. Hoi, Rong Jin posted to 2008 active_learning icml by donghai on 2009-02-19 10:07:14 as along with 1 person Mohan-S
	Optimal kernel selection in Kernel Fisher discriminant analysis [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 465-472. by Seung-Jean Kim, Alessandro Magnani, Stephen Boyd posted to icml kernel-method optimization kernel-design by memming on 2009-02-11 13:30:28 as along with 4 people awg2 eddymier teesid jung_dalglish
	Supervised feature selection via dependence estimation [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 823-830. by Le Song, Alex Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo posted to dependence-estimation feature-selection icml learning machine-learning by jekky on 2008-12-11 09:37:50 as
	Information-theoretic metric learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 209-216. by Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon posted to 2007 distance icml information-theory learning metric-learning by jekky on 2008-11-23 06:41:09 as along with 4 people sdvillal teesid jung_dalglish jsr
	Compact approximations to Bayesian predictive distributions [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 840-847. by Edward Snelson, Zoubin Ghahramani posted to icml predictive-distributions variational-bayes by rpadams on 2006-03-09 16:12:44 as

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