pprett's learning [47 articles] Export

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	Learning Visual Representations using Images with Captions [My Copy] In CVPR (2007) by Ariadna Quattoni, Michael Collins, Trevor Darrell posted to vision structural learning image computer classification aso by pprett on 2009-11-19 21:33:47 as
	A theory of learning from different domains [My Copy] Machine Learning by Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Vaughan posted to transfer theory shift learning domain dataset adaptation by pprett on 2009-10-26 11:16:14 as along with 1 person bedo
	Introduction to Conditional Random Fields for Relational Learning [My Copy] In Introduction to Statistical Relational Learning (2006) by Charles Sutton, Andrew Mccallum edited by Lise Getoor, Ben Taskar posted to relational random models learning graphical fields crf conditional by pprett on 2009-10-12 09:10:34 as along with 1 person lillejul
	Knowledge transfer via multiple model local structure mapping [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 283-291. by Jing Gao, Wei Fan, Jing Jiang, Jiawei Han posted to transfer text learning domain classification adaptation by pprett on 2009-10-03 14:13:45 as along with 1 person amargoli
	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 structural semi-supervised multi-view learning by pprett on 2009-10-01 15:22:12 as along with 5 people thefillm inayatkh noandrews markusd davidr
	Multi-view Regression Via Canonical Correlation Analysis [My Copy] Learning Theory (2007), pp. 82-96. by Sham Kakade, Dean Foster posted to semi-supervised multi-view learning cca by pprett on 2009-10-01 15:20:22 as along with 1 person davidr
	Multitask Learning [My Copy] Mach. Learn., Vol. 28, No. 1. (1997), pp. 41-75. by Rich Caruana posted to multi-task multi-output learning by pprett on 2009-09-30 14:35:45 as
	TREC 2005 Genomics Track Experiments at IBM Watson [My Copy] In TREC, Vol. Special Publication 500-266 (2005) by Rie K. Ando, Mark Dredze, Tong Zhang edited by Ellen M. Voorhees, Lori P. Buckland, Ellen M. Voorhees, Lori P. Buckland posted to trec semi-supervised relevance pseudo learning ir genomics feedback aso by pprett on 2009-09-24 14:07:49 as
	Ultraconservative Online Algorithms for Multiclass Problems [My Copy] Journal of Machine Learning Research, Vol. 3 (2001) by Koby Crammer, Yoram Singer posted to sgd online multiclass linear learning by pprett on 2009-09-23 15:33:45 as
	A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 1817-1853. by Rie K. Ando, Tong Zhang posted to unlabeled structural seminal semi-supervised project-cls learning jmlr data aso by pprett on 2009-09-23 11:09:36 as along with 1 person robotact
	Domain Adaptation of Conditional Probability Models Via Feature Subsetting [My Copy] Knowledge Discovery in Databases: PKDD 2007 (2007), pp. 224-235. by Sandeepkumar Satpal, Sunita Sarawagi posted to adaptation domain learning transfer by pprett on 2009-06-11 17:14:31 as along with 2 people maheshj amargoli
	Domain Adaptation of Natural Language Processing Systems [My Copy] (2008) by John Blitzer posted to transfer thesis sentiment scl project-cls learning domain adaptation by pprett on 2009-06-10 15:18:24 as
	Discriminative learning for differing training and test distributions [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 81-88. by Steffen Bickel, Michael Brückner, Tobias Scheffer posted to bias dataset learning selection shift transfer by pprett on 2009-06-03 10:57:21 as along with 4 people and 1 group maheshj librain amargoli mathiasl LIBrain
	Latent space domain transfer between high dimensional overlapping distributions [My Copy] In WWW '09: Proceedings of the 18th international conference on World wide web (2009), pp. 91-100. by Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren posted to adaptation dimensionality domain factor latent learning reduction svd transfer by pprett on 2009-06-01 11:15:38 as along with 1 person nliu82
	Topic-bridged PLSA for cross-domain text classification [My Copy] In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 627-634. by Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu posted to adaptation domain learning plsa topic transfer by pprett on 2009-06-01 10:59:40 as along with 3 people fukumori amargoli jhe
	Frustratingly Easy Domain Adaptation [My Copy] In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (June 2007), pp. 256-263. by Hal Daume, III posted to adaptation domain learning nlp supervised transfer by pprett on 2009-06-01 10:57:05 as along with 1 person amargoli
	Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification [My Copy] In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (June 2007), pp. 440-447. by John Blitzer, Mark Dredze, Fernando Pereira posted to transfer sentiment project-cls learning domain detection dataset adaptation acl by pprett on 2009-06-01 10:55:16 as along with 3 people and 1 group maheshj henk-cul pkalmar dbmi-nlp
	Pattern Classification (2nd Edition) [My Copy] (21 November 2000) by Richard O. Duda, Peter E. Hart, David G. Stork posted to learning machine ml pattern recognition textbook by pprett on 2008-10-17 14:15:20 as along with 51 people and 11 groups emailhy jrodriguez gavin1332 montse_gg kroatiker alexjfalcao purplecrown seninp liamtoh333 lvcargnini ben500 h-chi chiufanlee RafaUsyd aanthon2 eddymier misovalko thefillm pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus abellogin singhsh haiyeong napvasconcelos ecome matjes yaroslavvb tgyork middell LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
	Probabilistic Models in Information Retrieval [My Copy] The Computer Journal, Vol. 35, No. 3. (1992), pp. 243-255. by Norbert Fuhr posted to ir learning models probabilistic by pprett on 2008-10-16 12:18:50 as along with 3 people sugarexpletive rayzhang Carol_Perryman
	Ontology Learning and Its Application to Automated Terminology Translation [My Copy] IEEE Intelligent Systems, Vol. 18, No. 1. (January 2003), pp. 22-31. by Roberto Navigli, Paola Velardi, Aldo Gangemi posted to c45 learning nlp ontology semantics by pprett on 2008-06-25 09:06:51 as
	A probabilistic learning approach for document indexing [My Copy] ACM Trans. Inf. Syst., Vol. 9, No. 3. (July 1991), pp. 223-248. by Norbert Fuhr, Chris Buckley posted to connectionist ir learning probabilistic by pprett on 2008-05-26 10:48:52 as along with 1 person rayzhang
	Using the cosine measure in a neural network for document retrieval [My Copy] In SIGIR '91: Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval (1991), pp. 202-210. by Ross Wilkinson, Philip Hingston posted to ann connectionist learning sa transient vsm by pprett on 2008-03-19 08:58:50 as
	Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents [My Copy] In SIGIR '89: Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval (1989), pp. 11-20. by R. K. Belew posted to connectionist ir learning sa by pprett on 2008-03-19 08:41:37 as along with 1 person rayzhang
	Advances in Boosting [My Copy] In UAI (2002), pp. 446-452. by Robert E. Schapire edited by Adnan Darwiche, Nir Friedman, Adnan Darwiche, Nir Friedman posted to active adaboost boosting learning regression survey by pprett on 2008-03-10 20:17:16 as
	Boosting Image Retrieval [My Copy] Int. J. Comput. Vision, Vol. 56, No. 1-2. (2004), pp. 17-36. by Kinh Tieu, Paul Viola posted to boosting cbir feedback learning query relevance by pprett on 2008-02-27 18:09:50 as along with 2 people education01 gyuli
	An introduction to variable and feature selection [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182. by Isabelle Guyon, Andre Elisseeff posted to dimensionality feature learning machine reduction selection by pprett on 2008-02-14 11:29:35 as along with 8 people bsilverthorn jeremygow cyberwulf eddymier jmetzen mercutio chad_davis sdvillal
	Incorporating Diversity and Density in Active Learning for Relevance Feedback [My Copy] Advances in Information Retrieval (2007), pp. 246-257. by Zuobing Xu, Ram Akella, Yi Zhang posted to active ecir2007 feedback learning rdd relevance by pprett on 2007-12-05 11:05:03 as along with 3 people and 1 group katja romeroandres katherinerozo ilps
	A study using n-gram features for text categorization [My Copy] (1998) by F. Johannes posted to categorization learning machine n-gram text by pprett on 2007-11-21 16:18:49 as along with 1 person education01
	A tutorial on learning with bayesian networks [My Copy] (# 1995) by D. Heckerman posted to bayesian learning machine networks probabilistic by pprett on 2007-11-18 14:31:53 as along with 44 people and 8 groups Sergey_gerbek ingo Gorzomagnificent pwz mhofree soidis m0ta korakot A_Olympia neilernst JoSeK jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx ddahlem pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo helsley dcastro tessaverhoef frohike Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id
	N-Gram-Based Text Categorization [My Copy] In Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval (1994), pp. 161-175. by William B. Cavnar, John M. Trenkle posted to categorization learning machine n-gram text by pprett on 2007-11-17 15:39:57 as along with 11 people and 2 groups chrisd Babbage mortimer pdlug mapio ChaTo simons vaughano ferretstk rrufai robertlischke UoY-CS-AIG AI
	On the Optimality of the Simple Bayesian Classifier under Zero-One Loss [My Copy] Machine Learning, Vol. 29, No. 2-3. (1997), pp. 103-130. by Pedro Domingos, Michael J. Pazzani posted to learning machine mining nbc text by pprett on 2007-11-17 14:54:31 as
	Machine learning in automated text categorization [My Copy] ACM Computing Surveys, Vol. 34, No. 1. (2002), pp. 1-47. by Fabrizio Sebastiani posted to ann categorization classification learning machine nbc rocchio survey svm text by pprett on 2007-11-17 14:47:10 as along with 8 people and 3 groups robertlischke adamcheng kaineci aaronhalfaker clickstone goettl akshat KRaz Ubicomp LocationAwareComputing WebMining
	Efficient text categorization [My Copy] (1998) by Marko Grobelnik, Dunja Mladenic posted to categorization classification learning machine n-gram text web yahoo by pprett on 2007-11-17 13:42:45 as
	New methods for relevance feedback: improving information retrieval performance [My Copy] In SAC '95: Proceedings of the 1995 ACM symposium on Applied computing (1995), pp. 482-487. by Paul V. Biron, Donald H. Kraft posted to algorithm connectionist feedback genetic learning relevance by pprett on 2007-11-02 20:47:56 as
	Automatic web query classification using labeled and unlabeled training data [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 581-582. by Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, et al.David Grossman, David D. Lewis, Abdur Chowdhury, Aleksandr Kolcz posted to aol learning log machine mining query supervised by pprett on 2007-11-02 14:59:17 as along with 2 people nliu82 eustachediemert
	Query chains: learning to rank from implicit feedback [My Copy] In KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (2005), pp. 239-248. by Filip Radlinski, Thorsten Joachims posted to feedback implicit learning learning2rank machine ml query ranking by pprett on 2007-10-30 15:53:12 as along with 8 people donade baaic ChaTo MaineC suripi bpiwowar vitalaswp4 billsus
	Data Mining: Practical Machine Learning Tools and Techniques [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted to classification clustering data learning machine mining textbook weka by pprett on 2007-10-25 12:31:16 as along with 47 people and 6 groups anib singhsh installe tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 tijszwinkels ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic RafaUsyd tmancill druvus dullhunk GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois gmonce fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	A regression framework for learning ranking functions using relative relevance judgments [My Copy] In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (2007), pp. 287-294. by Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha posted to feedback information judgements learning machine ranking relevance retrieval by pprett on 2007-10-24 13:20:47 as along with 3 people vitalaswp4 billsus sithmein
	Robustness of adaptive filtering methods in a cross-benchmark evaluation [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 98-105. by Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel posted to adaptive classification feedback filtering information ir learning machine relevance retrieval by pprett on 2007-10-24 12:13:22 as
	Some Formal Analysis of Rocchio's Similarity-Based Relevance Feedback Algorithm [My Copy] Inf. Retr., Vol. 5, No. 1. (January 2002), pp. 61-86. by Zhixiang Chen, Binhai Zhu posted to algorithm feedback learning machine relevance rocchio supervised theoretical by pprett on 2007-10-16 09:12:16 as along with 1 person mthomure
	Improving web search ranking by incorporating user behavior information [My Copy] In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (2006), pp. 19-26. by Eugene Agichtein, Eric Brill, Susan Dumais posted to behavior evaluation feedback information learning machine msr ranknet relevance re-rank retrieval search user web by pprett on 2007-10-01 13:46:16 as along with 17 people and 2 groups adamsi fmccown haewoon anna_riccioni fiacobelli bemike ctl diogomartins cyrille nearora brusilovsky codex vitalaswp4 billsus koles avirr chintown social_navigation Adaptive-Web
	Learning to rank using gradient descent [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 89-96. by Chris Burges, Tal Shaked, Erin Renshaw, et al.Ari Lazier, Matt Deeds, Nicole Hamilton, Greg Hullender posted to learning machine msr networks neural ranking ranknet search web by pprett on 2007-10-01 10:27:11 as along with 7 people and 1 group alexeigor kuaaaaa eddymier bemike agulli clickstone sithmein WebMining
	Active exploration for learning rankings from clickthrough data [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 570-579. by Filip Radlinski, Thorsten Joachims posted to clickthrough feedback learning machine relevance by pprett on 2007-10-01 10:18:20 as along with 3 people vitalaswp4 billsus avirr
	Beyond PageRank: machine learning for static ranking [My Copy] In WWW '06: Proceedings of the 15th international conference on World Wide Web (2006), pp. 707-715. by Matthew Richardson, Amit Prakash, Eric Brill posted to learning machine msr pagerank ranking ranknet by pprett on 2007-09-30 20:35:12 as along with 3 people pool007 bemike ChaTo
	A Comparison of Classifiers and Document Representations for the Routing Problem [My Copy] In Research and Development in Information Retrieval (1995), pp. 229-237. by Hinrich Schütze, David A. Hull, Jan O. Pedersen posted to ann connectionist feedback learning machine relevance routing by pprett on 2007-09-30 19:04:16 as
	A Machine Learning Architecture for Optimizing Web Search Engines [My Copy] In Proceedings of the AAAI Workshop on Internet-Based Information Systems (1996) by J. Boyan, D. Freitag, T. Joachims posted to feedback learning machine reinforcement relevance search web by pprett on 2007-09-30 19:03:22 as along with 1 person katherinerozo
	A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization [My Copy] In Proceedings of ICML-97, 14th International Conference on Machine Learning (1997), pp. 143-151. by Thorsten Joachims edited by Douglas H. Fisher posted to categorization feedback learning machine relevance rocchio text by pprett on 2007-09-30 19:02:18 as

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