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Charles Elkan, PhD - Publications

Affiliations: 
1990- Computer Science and Engineering University of California, San Diego, La Jolla, CA 
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24 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2013 Kumar A, Vembu S, Menon AK, Elkan C. Beam search algorithms for multilabel learning Machine Learning. 92: 65-89. DOI: 10.1007/S10994-013-5371-6  0.593
2012 Menon AK, Jiang XJ, Vembu S, Elkan C, Ohno-Machado L. Predicting accurate probabilities with a ranking loss. Machine Learning : Proceedings of the International Conference. International Conference On Machine Learning. 2012: 703-710. PMID 25285328  0.554
2012 Huerta R, Vembu S, Amigó JM, Nowotny T, Elkan C. Inhibition in multiclass classification Neural Computation. 24: 2473-2507. PMID 22594829 DOI: 10.1162/Neco_A_00321  0.308
2012 Kumar A, Vembu S, Menon AK, Elkan C. Learning and inference in probabilistic classifier chains with beam search Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7523: 665-680. DOI: 10.1007/978-3-642-33460-3_48  0.513
2012 Menon AK, Jiang X, Vembu S, Elkan C, Ohno-Machado L. Predicting accurate probabilities with a ranking loss Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 703-710.  0.494
2011 Krallinger M, Vazquez M, Leitner F, Salgado D, Chatr-Aryamontri A, Winter A, Perfetto L, Briganti L, Licata L, Iannuccelli M, Castagnoli L, Cesareni G, Tyers M, Schneider G, Rinaldi F, ... ... Elkan C, et al. The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text. Bmc Bioinformatics. 12: S3. PMID 22151929 DOI: 10.1186/1471-2105-12-S8-S3  0.305
2011 Sehgal AK, Das S, Noto K, Saier MH, Elkan C. Identifying relevant data for a biological database: handcrafted rules versus machine learning. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 8: 851-7. PMID 21393656 DOI: 10.1109/Tcbb.2009.83  0.366
2011 Atreya A, Elkan C. Latent semantic indexing (LSI) fails for TREC collections Sigkdd Explorations. 12: 5-10. DOI: 10.1145/1964897.1964900  0.313
2011 Menon AK, Elkan C. Fast algorithms for approximating the singular value decomposition Acm Transactions On Knowledge Discovery From Data. 5. DOI: 10.1145/1921632.1921639  0.531
2011 Li W, Guo Q, Elkan C. Can we model the probability of presence of species without absence data? Ecography. 34: 1096-1105. DOI: 10.1111/J.1600-0587.2011.06888.X  0.312
2011 Li W, Guo Q, Elkan C. A positive and unlabeled learning algorithm for one-class classification of remote-sensing data Ieee Transactions On Geoscience and Remote Sensing. 49: 717-725. DOI: 10.1109/Tgrs.2010.2058578  0.387
2011 Menon AK, Elkan C. Link prediction via matrix factorization Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6912: 437-452. DOI: 10.1007/978-3-642-23783-6_28  0.465
2010 Cerulo L, Elkan C, Ceccarelli M. Learning gene regulatory networks from only positive and unlabeled data Bmc Bioinformatics. 11. PMID 20444264 DOI: 10.1186/1471-2105-11-228  0.351
2010 Menon AK, Elkan C. A log-linear model with latent features for dyadic prediction Proceedings - Ieee International Conference On Data Mining, Icdm. 364-373. DOI: 10.1109/ICDM.2010.148  0.498
2010 Menon AK, Elkan C. Predicting labels for dyadic data Data Mining and Knowledge Discovery. 21: 327-343. DOI: 10.1007/S10618-010-0189-3  0.587
2005 Madsen RE, Kauchak D, Elkan C. Modeling word burstiness using the Dirichlet distribution Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 545-552. DOI: 10.1145/1102351.1102420  0.568
2005 Turnbull D, Elkan C. Fast recognition of musical genres using RBF networks Ieee Transactions On Knowledge and Data Engineering. 17: 580-584. DOI: 10.1109/Tkde.2005.62  0.65
2004 Kauchak D, Smarr J, Elkan C. Sources of success for boosted wrapper induction Journal of Machine Learning Research. 5: 499-527.  0.556
2003 Kauchak D, Elkan C. Learning rules to improve a machine translation system Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2837: 205-216.  0.621
2002 Zadrozny B, Elkan C. Transforming classifier scores into accurate multiclass probability estimates Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 694-699.  0.584
2001 Zadrozny B, Elkan C. Learning and making decisions when costs and probabilities are both unknown Proceedings of the Seventh Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 204-213.  0.604
2000 Elkan C. Results of the KDD'99 classifier learning Sigkdd Explorations. 1: 63-64. DOI: 10.1145/846183.846199  0.385
1994 Segre A, Elkan C. A high-performance explanation-based learning algorithm Artificial Intelligence. 69: 1-50. DOI: 10.1016/0004-3702(94)90077-9  0.317
1991 Segre A, Elkan C, Russell A. A critical look at experimental evaluations of EBL Machine Learning. 6: 183-195. DOI: 10.1023/A:1022658420943  0.335
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