Tag semisupervised [58 articles] Export

Recent papers classified by the tag semisupervised.

	SemiBoost: Boosting for Semi-Supervised Learning [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (26 September 2008), pp. 2000-2014. by P. K. Mallapragada, Rong Jin, A. K. Jain, Yi Liu posted to semisupervised boosting by jjrodriguez on 2009-09-29 17:54:25 as along with 1 person asmith29
	Semi-supervised learning with an imperfect supervisor [My Copy] Knowledge and Information Systems, Vol. 8, No. 4. (1 November 2005), pp. 385-413. by Massih Amini, Patrick Gallinari posted to supervised semisupervised learning imperfectly by sancho on 2009-09-01 23:38:45 as along with 2 people ecome maddin
	Two-view feature generation model for semi-supervised learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 25-32. by Rie K. Ando, Tong Zhang posted to semisupervised machine_learning cotraining by thefillm on 2009-08-23 20:24:14 as along with 5 people pprett inayatkh noandrews markusd davidr
	Combining labeled and unlabeled data with co-training [My Copy] In COLT' 98: Proceedings of the eleventh annual conference on Computational learning theory (1998), pp. 92-100. by Avrim Blum, Tom Mitchell posted to semisupervised machine_learning cotraining clustering by thefillm on 2009-08-23 18:42:53 as along with 11 people holopoj katja jhe bsilverthorn bfraser amargoli sids vlachmore jccaicedo sithmein eddymier
	Pairwise constraint propagation by semidefinite programming for semi-supervised classification [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 576-583. by Zhenguo Li, Jianzhuang Liu, Xiaoou Tang posted to kernels semisupervised by davidr on 2009-08-07 18:08:19 as along with 1 person dittaya
	Semi-supervised graph clustering: a kernel approach [My Copy] Machine Learning, Vol. 74, No. 1. (1 January 2009), pp. 1-22. by Brian Kulis, Sugato Basu, Inderjit Dhillon, Raymond Mooney posted to clustering semisupervised svm by jjrodriguez on 2009-05-02 11:44:55 as along with 1 person briordan
	A framework for learning predictive structures from multiple tasks and unlabeled data [My Copy] Journal of Machine Learning Research, Vol. 6 (2005), pp. 1817-1853. by Rie K. Ando, Tong Zhang, Peter Bartlett posted to domain-adaptation semisupervised by amargoli on 2009-02-15 09:01:52 as
	Learning from labeled and unlabeled data with label propagation [My Copy] (2002) by X. Zhu, Z. Ghahramani posted to semisupervised by amargoli on 2009-02-13 00:42:55 as along with 3 people davidr wnpx markusd
	Active semi-supervision for pairwise constrained clustering [My Copy] In In Proceedings of the 2004 SIAM International Conference on Data Mining (SDM-04 (2004), pp. 333-344. by Sugato Basu, Arindam Banerjee, Raymond J. Mooney posted to active clustering constrained semisupervised by whereisravi on 2009-02-02 19:41:00 as
	A probabilistic framework for semi-supervised clustering [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 59-68. by Sugato Basu, Mikhail Bilenko, Raymond J. Mooney posted to clustering probabilistic semisupervised by whereisravi on 2009-02-02 19:40:17 as along with 2 people mdifranc koles
	A comparison of inference techniques for semi-supervised clustering with hidden Markov random fields [My Copy] In In Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (SRL-2004 (2004) by Sugato Basu posted to clustering hmrf mrf semisupervised by whereisravi on 2009-02-02 19:38:44 as
	On the Effectiveness of Laplacian Normalization for Graph Semi-supervised Learning [My Copy] Journal of Machine Learning Research, Vol. 8 (July 2007), pp. 1489-1517. by Rie Johnson, Tong Zhang posted to semisupervised by davidr on 2008-12-01 02:28:03 as along with 1 group Graph based learning
	Detection of agreement vs. disagreement in meetings: Training with unlabeled data [My Copy] In Proc. HLT-NAACL (2003) by Dustin Hillard, Mari Ostendorf posted to semisupervised by amargoli on 2008-08-18 18:52:39 as
	Semi-Supervised Learning [My Copy] (01 September 2006) edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien posted to semisupervised by davidr on 2008-08-13 14:19:53 as along with 11 people dpdearing cdepablo eddymier liamtoh333 thefillm jekky sdvillal ecome bundschu worldsun jung_dalglish
	Learning Classification with Unlabeled Data [My Copy] In Proc. NIPS'93, Neural Information Processing Systems (1993), pp. 112-119. by Virginia R. de Sa edited by Jack D. Cowan, Gerald Tesauro, Joshua Alspector posted to multiview semisupervised by davidr on 2008-08-12 16:46:39 as along with 1 person buescher76
	Semi-supervised learning using Gaussian fields and harmonic functions [My Copy] In In ICML (2003), pp. 912-919. by Xiaojin Zhu, Zoubin Ghahramani, John Lafferty posted to manifold semisupervised by davidr on 2008-08-11 23:12:00 as
	Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions [My Copy] In ICML (2003), pp. 912-919. by Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty edited by Tom Fawcett, Nina Mishra, Tom Fawcett, Nina Mishra posted to manifold semisupervised by davidr on 2008-08-11 23:05:11 as
	A unified framework for semi-supervised dimensionality reduction [My Copy] Pattern Recognition, Vol. 41, No. 9. (September 2008), pp. 2789-2799. by Yangqiu Song, Feiping Nie, Changshui Zhang, Shiming Xiang posted to dimensionality_reduction semisupervised by jjrodriguez on 2008-06-04 10:03:23 as along with 1 person tdhollan
	Beyond the point cloud: from transductive to semi-supervised learning [My Copy] In ICML, Vol. 119 (2005), pp. 824-831. by Vikas Sindhwani, Partha Niyogi, Mikhail Belkin edited by Luc De Raedt, Stefan Wrobel posted to manifold rkhs semisupervised by davidr on 2008-05-15 20:17:02 as along with 1 person markstoehr
	Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 3. (2008), pp. 424-437. by Akinori Fujino, Naonori Ueda, Kazumi Saito posted to semisupervised by jjrodriguez on 2008-04-08 09:48:31 as along with 1 person yaroslavvb
	Optimization Techniques for Semi-Supervised Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 203-233. by Olivier Chapelle, Vikas Sindhwan, Sathiya S. Keerthi posted to semisupervised svm by jjrodriguez on 2008-02-22 10:02:31 as
	Learning Dictionaries for Information Extraction by Multi-Level Bootstrapping [My Copy] In AAAI/{IAAI} (1999), pp. 474-479. by Ellen Riloff, Rosie Jones posted to semisupervised by jameskarlbaker on 2008-01-28 18:26:12 as
	Automatically Generating Extraction Patterns from Untagged Text [My Copy] In AAAI/{IAAI}, Vol. 2 (1996), pp. 1044-1049. by Ellen Riloff posted to semisupervised by jameskarlbaker on 2008-01-28 18:25:20 as
	Incorporating user control into recommender systems based on naive bayesian classification [My Copy] In RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems (2007), pp. 73-80. by Verus Pronk, Wim Verhaegh, Adolf Proidl, Marco Tiemann posted to naive-bayes recommendation semisupervised by koles on 2008-01-02 09:29:37 as along with 1 person and 2 groups brusilovsky social_navigation Adaptive-Web
	Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples [My Copy] Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2399-2434. by Mikhail Belkin, Partha Niyogi, Vikas Sindhwani posted to manifolds semisupervised by davidr on 2007-12-11 22:49:03 as along with 3 people Scis0000002 teesid mctor
	Learning from Incomplete Data [My Copy] No. AIM-1509. (1994) by Zoubin Ghahramani, Michael I. Jordan posted to em machinelearning semisupervised by alad on 2007-09-27 20:39:41 as
	Identifying agreement and disagreement in conversational speech: use of Bayesian networks to model pragmatic dependencies [My Copy] In ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics (2004) by Michel Galley, Kathleen Mckeown, Julia Hirschberg, Elizabeth Shriberg posted to training semisupervised nlp meeting icssi ia discourse disagreement dialogue classification agreement by mortimer to the group AI on 2007-05-31 15:33:14 as along with 1 person and 1 group eegilbert UoY-CS-AIG
	Detection of agreement vs. disagreement in meetings: training with unlabeled data [My Copy] In NAACL '03: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology (2003), pp. 34-36. by Dustin Hillard, Mari Ostendorf, Elizabeth Shriberg posted to training semisupervised nlp meeting icssi ia discourse disagreement dialogue classification agreement by mortimer to the group UoY-CS-AIG on 2007-05-31 15:29:30 as along with 1 group AI
	Semi-supervised clustering by seeding [My Copy] (2002) by S. Basu, A. Banerjee, R. Mooney posted to clustering em semisupervised by samal on 2006-08-22 15:05:33 as along with 4 people sona anon_pl jread82 nklee
	Semi-supervised clustering with user feedback [My Copy] (2003) by D. Cohn, R. Caruana, A. Mccallum posted to clustering semisupervised by anon_pl on 2006-08-14 20:59:32 as along with 3 people sona ldietz koles
	Constrained K-means Clustering with Background Knowledge [My Copy] In Proceedings of 18th International Conference on Machine Learning (ICML-01) (2001), pp. 577-584. by Kiri Wagsta, Claire Cardie, Seth Rogers, Stefan Schroedl posted to clustering semisupervised by anon_pl on 2006-08-14 20:35:16 as
	A Probabilistic Framework for Semi-Supervised Clustering [My Copy] (August 2004), pp. 59-68. by Sugato Basu, Mikhail Bilenko, Raymond J. Mooney posted to clustering semisupervised by anon_pl on 2006-08-09 00:05:18 as along with 3 people sona lfdoherty pkufranky
	The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter [My Copy] Information Theory, IEEE Transactions on, Vol. 42, No. 6. (1996), pp. 2102-2117. by V. Castelli, T. Cover posted to classification semisupervised by anon_pl on 2006-07-14 20:44:15 as along with 1 person davidr
	A PAC-Style Model for Learning from Labeled and Unlabeled Data [My Copy] Lecture Notes in Computer Science In COLT, Vol. 3559 (June 2005), pp. 111-126. by Maria-Florina Balcan, Avrim Blum posted to cotraining semisupervised by davidr on 2006-06-09 22:50:49 as along with 3 people sdvillal worldsun peterlowey
	Enhancing Supervised Learning with Unlabeled Data [My Copy] In ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning (2000), pp. 327-334. by Sally A. Goldman, Yan Zhou posted to cotraining semisupervised by davidr on 2006-05-17 14:54:49 as along with 1 person mboehmer
	Fast protein classification with multiple networks [My Copy] Bioinformatics, Vol. 21 Suppl 2 (1 September 2005) by K. Tsuda, H. Shin, B. Schölkopf posted to bioinformatics graph machinelearning protein semisupervised by dwf on 2006-05-15 05:57:44 as along with 3 people and 2 groups ajbattle marcius bootsy BioinfoCIPF SGU-CIPF
	Semi-supervised learning using Gaussian fields and harmonic functions [My Copy] Proceedings of the Twentieth International Conference on Machine Learning In The Twentieth International Conference on Machine Learning, August 21-24, 2003, Washington, DC USA (2003), pp. 912-919. by X. Zhu, Z. Ghahramani, J. Lafferty posted to harmonic machinelearning semisupervised by dwf on 2006-05-15 05:53:25 as along with 2 people kozaki amargoli
	The Effect of Unlabeled Data on Generative Classifiers, With [My Copy] by Application T. Model posted to empirical-results genmodel-classification semisupervised by sethy on 2005-11-18 21:58:40 as along with 1 person davidr
	The relative value of labeled and unlabeled samples in pattern recognition [My Copy] Information Theory, 1993. Proceedings. 1993 IEEE International Symposium on (1993), pp. 355-355. by V. Castelli, T. Cover posted to semisupervised by davidr on 2005-03-30 00:56:29 as
	Towards semisupervised classification with Markov random fields [My Copy] (2002) by X. Zhu, Z. Ghahramani posted to genmodel-classification semisupervised by davidr on 2005-03-30 00:45:13 as along with 1 person markusd
	The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon [My Copy] Geoscience and Remote Sensing, IEEE Transactions on, Vol. 32, No. 5. (1994), pp. 1087-1095. by B. Shahshahani, D. Landgrebe posted to empirical-results semisupervised by davidr on 2005-03-30 00:01:36 as
	Weakly Supervised Natural Language Learning Without Redundant Views [My Copy] In HLT-NAACL 2003: Proceedings of the Main Conference (# 2003), pp. 173-180. by Vincent Ng, Claire Cardie posted to cotraining empirical-results semisupervised by davidr on 2005-03-29 23:56:48 as
	Positive and Unlabelled Examples Help Learning [My Copy] by Francesco D. De Comit, François Denis, Rémi Gilleron, Fabien Letouzey posted to decision-trees pac-learning semisupervised theoretical-analysis by davidr on 2005-03-29 23:51:36 as
	A Mixed Ensemble Approach for the Semi-Supervised Problem [My Copy] by Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik posted to clustering semisupervised by davidr on 2005-03-29 23:49:48 as
	Exploiting unlabeled data in content-based image retrieval [My Copy] In Lecture Notes in Artificial Intelligence 3201, 2004 (2004) posted to active-learning semisupervised by davidr on 2005-03-29 23:49:29 as
	Automatic Bayes Carpentry Using Unlabeled [My Copy] by Data I. Semi-Supervised posted to semisupervised by davidr on 2005-03-29 23:40:05 as
	Building Text Classifiers Using Positive and Unlabeled Examples [My Copy] (2003) by B. Liu, Y. Dai, X. Li, W. Lee, P. Yu posted to partially-supervised semisupervised text-classification by davidr on 2005-03-29 23:02:00 as along with 1 person and 1 group gangli tulip
	Learning Bayesian Network Classifiers with Labeled and Unlabeled Data [My Copy] by Ira Cohen, Fabio G. Gozman, Marcelo C. Cirelo posted to bayes-nets semisupervised by davidr on 2005-03-29 21:48:26 as
	Unlabeled data can degrade classification performance of generative classifiers [My Copy] In Fifteenth International Florida Artificial Intelligence Society Conference (2002), pp. 327-331. by F. Cozman, I. Cohen posted to genmodel-classification semisupervised by davidr on 2005-03-29 21:44:18 as along with 1 person pechyony
	Optimization approaches to semisupervised learning [My Copy] (2000) by A. Demirez, K. Bennett posted to semisupervised svm transduction by davidr on 2005-03-29 21:41:08 as

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clustering	11
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cotraining	7
agreement	6
dialogue	6
disagreement	6
discourse	6
ia	6
icssi	6
meeting	6
nlp	6
training	6
empirical-results	4
genmodel-classification	4
em	3
machinelearning	3
manifold	3
svm	3
machine_learning	2
multiview	2
partially-supervised	2
text-classification	2
theoretical-analysis	2
active	1
active-learning	1
bayes-nets	1
bioinformatics	1
boosting	1
constrained	1
decision-trees	1
dimensionality_reduction	1
domain-adaptation	1
graph	1
harmonic	1
hmrf	1
imperfectly	1
kernels	1
learning	1
manifolds	1
mrf	1
naive-bayes	1
named-entity-recognition	1
pac-learning	1
probabilistic	1
protein	1
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supervised	1
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Tag semisupervised [58 articles] Export

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