nliu82's icml [30 articles] Export

Recent papers added to nliu82's library classified by the tag icml. You can also see everyone's icml.

	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 7 people 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
	Learning high dimensional correspondences with low dimensional manifolds [My Copy] In Proceedings of the ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining (2003) by J. H. Ham, D. D. Lee, L. K. Saul posted to manifold icml correspondence 2003 by nliu82 on 2009-09-04 04:30:33 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
	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
	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 netflix icml collaborative_filtering boltzmann_machine 2007 by nliu82 on 2009-09-01 04:26:09 as along with 14 people and 1 group clickstone maximzhao imrchen dtsamis ChenxingYang bmichel austincarp zhanwei zheaton creswick lfriedl dwf danejensen Tobu Resys
	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 2 people 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

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2009	155
collaborative_filtering	88
2008	83
kdd	59
www	52
sigir	51
social_network	50
2007	43
temporal	30
icml	30
social_annotation	27
2006	24
relational_learning	23
topic_model	20
search	19
ranking	18
nips	17
2004	16
wikipedia	16
diversity	15
privacy	15
distributed_computing	14
matrix_factorization	13
2003	13
2005	13
concept_drift	12
social_web	12
multi_view	12
uai	12
personalization	11
survey	10
tag_prediction	10
application	10
hybrid_cf	10
icdm	10
recommendation	10
computational_advertising	9
transfer_learning	9
opinion_mining	9
mapreduce	9
optimization	9
tensor	9
ieee_computer	9
recsys	9
incomplete_data	9
dynamic	9
cikm	8
evaluation	7
unsupervised	7
cacm	7
sdm	6
wsdm	6
online_learning	6
search_advertising	6
community_discovery	6
cold_start	6
taxonomy	6
trust	6
2002	6
click	6
web_knowledge	6
language_model	6
jmlr	5
adaptive	5
active_learning	5
sentiment_analysis	5
aaai	5
query	5
chi	5
crowd_sourcing	5
log_mining	5
social_computing	5
query_categorization	4
incremental	4
p2p	4
svm	4
matrix	4
implicit_feedback	4
social_media	4
acl	4
image	4
long_tail	4
contextual_information	4
influence	4
link_prediction	4
netflix	4
recommender_system	4
large_scale	4
discriminative	4
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domain_adaptation	3
question_answer	3
human_computing	3
positive_only	3
2000	3
causal_modeling	3
mobile_computing	3
viral_marketing	3
gaussian_process	3
sigmm	3
online	3
behavioral_modeling	3
forum	3
graph_mining	3
aistat	3
tois	3
mlj	3
web_search	3
cross_modal	2
data	2
2001	2
proximity	2
event_detection	2
conflict	2
novelty	2
multi_teacher	2
pnas	2
statistical_model	2
pkdd	2
cost_sensitive	2
semi_supervised_learning	2
kddexp	2
nonparametric	2
multi_label	2
high_order	2
ensemble	2
contextual_advertising	2
blog	2
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interpretation	2
embedding	2
deep_learning	2
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manifold	2
emnlp	2
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sequence_modeling	2
spam	2
vertical_search	2
kernel	2
semantic_search	2
machine_learning	2
boltzmann_machine	2
top_rank	1
relevance_feedback	1
query_expansion	1
pervasive_computing	1
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tkde	1
pairwise	1
bluetooth	1
structured_data	1
targeted_advertisement	1
query_relation	1
stochastic_learning	1
interactive_search	1
dimensionality_reduction	1
marketing	1
activity_recognition	1
intelligent_systems	1
graph_alignment	1
popularity_bias	1
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query_log	1
computer	1
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ijcai	1
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bound	1
semantic_web	1
distributed	1
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tweb	1
jair	1
efficiency	1
cascade	1
isnn	1
mobile_search	1
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bias	1
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special_issue	1
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random_walk	1
information_fusion	1
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event	1
correspondence	1
mass_collaboration	1
1998	1
infomation_visualization	1
propagation	1
workshop	1
sac	1
sensor_network	1
relation_classification	1
non-smooth	1
parallel-computing	1
hypergraph	1
partial_label	1
mir	1
comparative_mining	1
analytics	1
forecasting	1
grammar_induction	1
heterogeneous_transfer	1
expert_recommendation	1
link_analysis	1
web20	1
social_influence	1
user_generated_content	1
behavioral_targeting	1
query_intention	1
imbalanced_data	1

nliu82's icml [30 articles] Export

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