jdu's library 56 articles Export

	Functional genomic hypothesis generation and experimentation by a robot scientist [My Copy] Nature, Vol. 427, No. 6971. (15 January 2004), pp. 247-252. by Ross D. King, Kenneth E. Whelan, Ffion M. Jones, et al.Philip G. K. Reiser, Christopher H. Bryant, Stephen H. Muggleton, Douglas B. Kell, Stephen G. Oliver posted to cost active by jdu on 2009-11-20 04:05:23 as along with 12 people and 5 groups abhishek_tiwari coela zhenyisx srp33 dbk tmmurali yas jtbates tabu samal dullhunk JeremyZucker streptomyces dbk-lab T_lab triplehelix MetabolicModeling
	Selective supervision: Guiding supervised learning with decision-theoretic active learning [My Copy] In Proceedings of International Joint Conference on Artiﬁcial Intelligence (IJCAI) (2007), pp. 877-882. by A. Kapoor, E. Horvitz, S. Basu posted to cost active by jdu on 2009-11-20 04:03:23 as
	Active Learning with Real Annotation Costs [My Copy] In Proceedings of the NIPS Workshop on Cost-Sensitive Learning (2008) by B. Settles, M. Craven, L. Friedland posted to cost active by jdu on 2009-11-20 03:59:57 as
	Active Learning with Generalized Queries [My Copy] In Proceedings of the 2009 IEEE International Conference on Data Mining (to appear) (2009) by Jun Du, Charles X. Ling posted to generalized-query active by jdu on 2009-11-05 23:02:46 as
	DDDM '07: Proceedings of the 2007 international workshop on Domain driven data mining [My Copy] (2007) edited by Philips Yu posted to d3m by jdu on 2009-11-02 13:08:04 as
	Discriminative batch mode active learning [My Copy] In Advances in Neural Information Processing Systems (NIPS) (2008), pp. 593-600. by Y. Guo, D. Schuurmans posted to batch active by jdu on 2009-09-28 02:28:32 as
	Batch mode active learning and its application to medical image classification [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 417-424. by Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu posted to batch active by jdu on 2009-09-28 02:22:36 as
	Introduction to Domain Driven Data Mining [My Copy] Data Mining for Business Applications In Data Mining for Business Applications (2009), pp. 3-10. by Longbing Cao posted to d3m by jdu on 2009-09-26 00:52:10 as
	Thresholding for Making Classifiers Cost-sensitive [My Copy] In Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06) (2006) by V. S. Sheng, C. X. Ling posted to cost by jdu on 2009-09-25 22:30:51 as
	Using the ADAP learning algorithm to forecast the onset of diabetes mellitus [My Copy] In Proceedings of the Symposium on Computer Applications and Medical Care (1988), pp. 261-265. by J. W. Smith, J. E. Everhart, W. C. Dickson, W. C. Knowler, R. S. Johannes posted to diabetes by jdu on 2009-09-23 02:25:03 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 transfer boosting by jdu on 2009-09-22 20:27:15 as along with 3 people nliu82 donghai jekky
	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 unlabeled transfer self-taught by jdu on 2009-09-22 20:25:47 as along with 6 people maximzhao kgajos wbeaver donghai amargoli mmunson
	Query Learning Strategies Using Boosting and Bagging [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 1-9. by Naoki Abe, Hiroshi Mamitsuka posted to qbc boosting bagging by jdu on 2009-09-21 22:10:11 as
	Feature Selection for Knowledge Discovery and Data Mining [My Copy] (1998) by Hang Liu, Hiroshi Motoda posted to feature-selection by jdu on 2009-09-21 21:38:10 as
	Computational Methods of Feature Selection [My Copy] (29 October 2007) edited by Huan Liu, Hiroshi Motoda posted to feature-selection by jdu on 2009-09-21 21:28:21 as along with 5 people robert85 gabriprat sona sdvillal stefanmeissner
	An Introduction to Variable and Feature Selection [My Copy] Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1157-1182. by Isabelle Guyon, André Elisseeff posted to feature-selection by jdu on 2009-09-21 21:25:36 as along with 6 people and 1 group pimmy stharward rramirezp davclark ednarofi vlachmore Skills, Automaticity and Imaging Methods
	Active Learning with Feedback on Features and Instances [My Copy] Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1655-1686. by Hema Raghavan, Omid Madani, Rosie Jones posted to feature active by jdu on 2009-09-21 21:22:15 as along with 6 people katherinerozo Mohan-S ise gogators sdvillal aharpale
	Learning from labeled features using generalized expectation criteria [My Copy] In SIGIR (2008), pp. 595-602. by Gregory Druck, Gideon S. Mann, Andrew McCallum edited by Sung H. Myaeng, Douglas W. Oard, Fabrizio Sebastiani, et al.Tat S. Chua, Mun K. Leong, Sung H. Myaeng, Douglas W. Oard, Fabrizio Sebastiani, Tat S. Chua, Mun K. Leong posted to feature active by jdu on 2009-09-21 21:20:12 as along with 3 people and 1 group vlachmore kgajos jiria WIT-KA
	Active Learning with Statistical Models [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 129-145. by David A. Cohn, Zoubin Ghahramani, Michael I. Jordan posted to active by jdu on 2009-09-21 21:14:57 as along with 2 people dpdearing hyifen
	Heterogeneous uncertainty sampling for supervised learning [My Copy] In Proceedings of ICML-94, 11th International Conference on Machine Learning (1994), pp. 148-156. by David D. Lewis, Jason Catlett edited by William W. Cohen, Haym Hirsh posted to uncertainty sampling by jdu on 2009-09-21 21:07:43 as along with 1 person ringger
	Report on the SIGKDD-2002 panel the perfect data mining tool: interactive or automated? [My Copy] SIGKDD Explor. Newsl., Vol. 4, No. 2. (2002), pp. 110-111. by Mihael Ankerst posted to interaction d3m by jdu on 2009-09-21 20:59:45 as
	Towards Effective and Interpretable Data Mining by Visual Interaction [My Copy] In In SIGKDD Explorations, Vol. 3 (2002), pp. 11-22. by Charu C. Aggarwal posted to interaction d3m by jdu on 2009-09-21 20:56:57 as
	THE EVOLUTION OF KDD: TOWARDS DOMAIN-DRIVEN DATA MINING [My Copy] International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 21, No. 4. (2007), pp. 677-692. by O. Longbing Ca, G. Chengqi Zhan posted to d3m by jdu on 2009-09-21 20:52:02 as
	Domain-Driven Data Mining: A Practical Methodology [My Copy] International Journal of Data Warehousing and Mining, Vol. 2, No. 4. (2006), pp. 49-65. by Longbing Cao, Chengqi Zhang posted to d3m by jdu on 2009-09-21 20:37:28 as
	Coarse Sample Complexity Bounds for Active Learning [My Copy] In Neural Information Processing Systems (2005) by Learning S. Dasgupta posted to bound active by jdu on 2009-06-02 22:16:16 as
	Cost-sensitive Learning and the Class Imbalanced Problem [My Copy] In Encyclopedia of Machine Learning (2007) by C. X. Ling, V. S. Sheng edited by C. Sammut posted to imbalance cost by jdu on 2009-03-10 15:12:00 as
	The Foundations of Cost-Sensitive Learning [My Copy] In Proceedings of the 17th International Joint Conference on Artificial Intelligence (2001), pp. 973-978. by Charles Elkan posted to cost by jdu on 2009-03-10 15:08:24 as along with 4 people makrehchi profundus pprett Repton
	Experiments with a New Boosting Algorithm [My Copy] In In Proceedings of the Thirteenth International Conference on Machine Learning (1996), pp. 148-156. by Yoav Freund, Robert E. Schapire posted to boosting by jdu on 2009-02-01 01:25:16 as along with 2 people mzabidi XIANG
	Integrating Classification and Association Rule Mining [My Copy] In Knowledge Discovery and Data Mining (1998), pp. 80-86. by Bing Liu, Wynne Hsu, Yiming Ma posted to no-tag by jdu on 2009-02-01 00:52:14 as along with 3 people and 1 group agogoh3 scis0000001 egibaja Associative classification
	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 no-tag by jdu on 2009-02-01 00:48:35 as along with 14 people abellogin michaelmampaey radical bigga tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh Yanno
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to bagging by jdu on 2009-02-01 00:42:25 as along with 8 people gabriprat mthomure santi515 kliger sona ngarera maheshj drivard
	Active learning with direct query construction [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 480-487. by Charles X. Ling, Jun Du posted to active by jdu on 2009-01-31 21:25:59 as along with 3 people shivak donghai Mohan-S
	Statistical pattern recognition: a review [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 1. (2000), pp. 4-37. by A. K. Jain, R. P. W. Duin, Jianchang Mao posted to pattern recognition by jdu on 2009-01-19 03:49:04 as along with 4 people and 3 groups mzabidi thsant sdvillal Found video_retrieval Pattern-Analysis NeuralNetworks
	Neural network initialization by combined classifiers [My Copy] Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on In Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on, Vol. 1 (1998), pp. 215-218 vol.1. by M. van Breukelen, R. P. W. Duin posted to neural-network by jdu on 2009-01-19 03:45:18 as
	Handwritten digit recognition: benchmarking of state-of-the-art techniques [My Copy] Pattern Recognition, Vol. 36, No. 10. (October 2003), pp. 2271-2285. by C. Liu posted to recognition handwritten digit by jdu on 2009-01-19 02:46:41 as along with 2 people pingmei yaroslavvb
	PAC generalization bounds for co-training [My Copy] In Advances in Neural Information Processing Systems 14 (2002), pp. 375-382. by S. Dasgupta, M. Littman, D. Mcallester edited by T. G. Dietterich, S. Becker, Z. Ghahramani posted to co-training by jdu on 2008-07-06 03:23:17 as along with 2 people andi_urra mukundn
	Combining labeled and unlabeled data with co-training [My Copy] In Proceedings of the 11th Annual Conference on Computational Learning Theory (1998), pp. 92-100. by A. Blum, T. Mitchell posted to co-training unlabeled by jdu on 2008-07-06 03:19:25 as along with 10 people and 2 groups gangli davidr andi_urra mukundn bpacker sdvillal gkvas markymaypo sugarexpletive adamsi tulip ARTFL
	Analyzing co-training style algorithms [My Copy] Machine Learning: ECML 2007 In Proceedings of the 18th European Conference on Machine Learning (2007), pp. 454-465. by W. Wang, Z. H. Zhou posted to co-training by jdu on 2008-07-06 02:32:59 as
	Semisupervised Regression with Cotraining-Style Algorithms [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 19, No. 11. (2007), pp. 1479-1493. by Zhi-Hua Zhou, Ming Li posted to co-training regression semi-supervised by jdu on 2008-07-06 02:27:48 as
	Selective Sampling for Nearest Neighbor Classifiers [My Copy] Machine Learning, Vol. 54, No. 2. (February 2004), pp. 125-152. by M. Lindenbaum, S. Markovitch, D. Rusakov posted to active sampling by jdu on 2008-03-01 02:38:03 as
	Tree Induction for Probability-Based Ranking [My Copy] Machine Learning, Vol. 52, No. 3. (September 2003), pp. 199-215. by Foster Provost, Pedro Domingos posted to bagging ranking tree by jdu on 2008-03-01 02:33:27 as along with 1 person and 1 group bcroy MAML
	A probability analysis on the value of unlabeled data for classification problems [My Copy] In Proc. 17th International Conf. on Machine Learning (2000), pp. 1191-1198. by Tong Zhang, Frank J. Oles posted to unlabeled by jdu on 2008-02-24 05:21:23 as
	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted to random-forest by jdu on 2008-02-23 23:41:57 as along with 22 people and 1 group ucbcjbm sona srp33 felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen sdvillal maheshj lp2 poluxmoon AbnerCYH carlk yaroslavvb Random Subspace Method
	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted to machine-learning by jdu on 2008-02-23 23:27:25 as along with 40 people and 4 groups gavin1332 gagliol pinventado q_w_e_r_t_y librain gabriprat gokopal fiacobelli bgibson zhanwei agogoh3 ogenex imrchen gr650 ianwelch frohike misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact sfeige bundschu markusd TKU_CS DB Lab AI RiSE contact-id
	C4.5: programs for machine learning [My Copy] (1993) by Ross J. Quinlan posted to c45 tree by jdu on 2008-02-23 23:25:12 as along with 9 people and 2 groups jbrusey katja imrchen ccumby foxmatch Repton ajylha ianwelch yaroslavvb TKU_CS DB Lab contact-id
	Data Mining: Practical Machine Learning Tools and Techniques [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted to data-mining by jdu on 2008-02-23 23:19:40 as along with 48 people and 6 groups jo-hannes 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 pprett gmonce fernandohbc scorreia_pro csacca bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	Active Sampling for Class Probability Estimation and Ranking [My Copy] Machine Learning, Vol. 54, No. 2. (February 2004), pp. 153-178. by M. Saar-Tsechansky, F. Provost posted to active ranking sampling by jdu on 2008-02-23 23:16:53 as along with 5 people Mohan-S jaberg xiaoyan2006 mdreid sdvillal
	Learning cost-sensitive active classifiers [My Copy] Artif. Intell., Vol. 139, No. 2. (August 2002), pp. 137-174. by Russell Greiner, Adam J. Grove, Dan Roth posted to cost active by jdu on 2008-02-22 17:51:37 as
	Learning and Classifying Under Hard Budgets [My Copy] Machine Learning: ECML 2005 (2005), pp. 170-181. by Aloak Kapoor, Russell Greiner posted to active by jdu on 2008-02-22 17:46:41 as
	Employing EM and Pool-Based Active Learning for Text Classification [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 350-358. by Andrew Mccallum, Kamal Nigam posted to active classification em pool-based text by jdu on 2008-02-22 16:43:59 as along with 1 person vlachmore

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