Tom Michael Mitchell - Publications

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
machine learning
Website:
http://www.cs.cmu.edu/~tom

101 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
2016 Papalexakis EE, Faloutsos C, Mitchell TM, Talukdar PP, Sidiropoulos ND, Murphy B. Turbo-SMT: Parallel Coupled Sparse Matrix-Tensor Factorizations and Applications. Statistical Analysis and Data Mining. 9: 269-290. PMID 27672406 DOI: 10.1002/sam.11315  0.32
2015 Jordan MI, Mitchell TM. Machine learning: Trends, perspectives, and prospects Science. 349: 255-260. DOI: 10.1126/science.aaa8415  1
2015 Nakashole N, Mitchell TM. A knowledge-intensive model for prepositional phrase attachment Acl-Ijcnlp 2015 - 53rd Annual Meeting of the Association For Computational Linguistics and the 7th International Joint Conference On Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference. 1: 365-375.  1
2015 Samadi M, Talukdar P, Veloso M, Mitchell T. AskWorld: Budget-sensitive query evaluation for knowledge-on-demand Ijcai International Joint Conference On Artificial Intelligence. 2015: 837-843.  1
2014 Papalexakis EE, Fyshe A, Sidiropoulos ND, Talukdar PP, Mitchell TM, Faloutsos C. Good-Enough Brain Model: Challenges, Algorithms, and Discoveries in Multisubject Experiments. Big Data. 2: 216-29. PMID 27442756 DOI: 10.1089/big.2014.0044  1
2014 Papalexakis EE, Faloutsos C, Mitchell TM, Talukdar PP, Sidiropoulos ND, Murphy B. Turbo-SMT: Accelerating Coupled Sparse Matrix-Tensor Factorizations by 200×. Proceedings of the ... Siam International Conference On Data Mining. Siam International Conference On Data Mining. 2014: 118-126. PMID 26473087 DOI: 10.1137/1.9781611973440.14  1
2014 Fyshe A, Talukdar PP, Murphy B, Mitchell TM. Interpretable Semantic Vectors from a Joint Model of Brain- and Text-Based Meaning. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2014: 489-499. PMID 26166940  1
2014 Just MA, Cherkassky VL, Buchweitz A, Keller TA, Mitchell TM. Identifying autism from neural representations of social interactions: neurocognitive markers of autism. Plos One. 9: e113879. PMID 25461818 DOI: 10.1371/journal.pone.0113879  1
2014 Wehbe L, Murphy B, Talukdar P, Fyshe A, Ramdas A, Mitchell T. Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses. Plos One. 9: e112575. PMID 25426840 DOI: 10.1371/journal.pone.0112575  1
2014 Kujala J, Sudre G, Vartiainen J, Liljeström M, Mitchell T, Salmelin R. Multivariate analysis of correlation between electrophysiological and hemodynamic responses during cognitive processing. Neuroimage. 92: 207-16. PMID 24518260 DOI: 10.1016/j.neuroimage.2014.01.057  1
2014 Papalexakis EE, Fyshe A, Sidiropoulos ND, Talukdar PP, Mitchell TM, Faloutsos C. Good-enough brain model: Challenges, algorithms and discoveries in multi-subject experiments Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 95-104. DOI: 10.1145/2623330.2623639  1
2014 Nakashole N, Mitchell TM. Language-aware truth assessment of fact candidates 52nd Annual Meeting of the Association For Computational Linguistics, Acl 2014 - Proceedings of the Conference. 1: 1009-1019.  1
2014 Krishnamurthy J, Mitchell TM. Joint syntactic and semantic parsing with combinatory categorial grammar 52nd Annual Meeting of the Association For Computational Linguistics, Acl 2014 - Proceedings of the Conference. 1: 1188-1198.  1
2014 Platanios EA, Blum A, Mitchell T. Estimating accuracy from unlabeled data Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, Uai 2014. 682-691.  1
2014 Betteridge J, Ritter A, Mitchell T. Assuming facts are expressed more than once Proceedings of the 27th International Florida Artificial Intelligence Research Society Conference, Flairs 2014. 431-436.  1
2013 Wijaya D, Talukdar PP, Mitchell T. PIDGIN: Ontology alignment using web text as interlingua International Conference On Information and Knowledge Management, Proceedings. 589-598. DOI: 10.1145/2505515.2505559  1
2013 Gardner M, Talukdar PP, Kisiel B, Mitchell T. Improving learning and inference in a large knowledge-base using latent syntactic cues Emnlp 2013 - 2013 Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 833-838.  1
2012 Sudre G, Pomerleau D, Palatucci M, Wehbe L, Fyshe A, Salmelin R, Mitchell T. Tracking neural coding of perceptual and semantic features of concrete nouns. Neuroimage. 62: 451-63. PMID 22565201 DOI: 10.1016/j.neuroimage.2012.04.048  1
2012 Buchweitz A, Shinkareva SV, Mason RA, Mitchell TM, Just MA. Identifying bilingual semantic neural representations across languages. Brain and Language. 120: 282-9. PMID 21978845 DOI: 10.1016/j.bandl.2011.09.003  1
2012 Shinkareva SV, Malave VL, Just MA, Mitchell TM. Exploring commonalities across participants in the neural representation of objects. Human Brain Mapping. 33: 1375-83. PMID 21567662 DOI: 10.1002/hbm.21296  1
2012 Talukdar PP, Wijaya D, Mitchell T. Acquiring temporal constraints between relations Acm International Conference Proceeding Series. 992-1001. DOI: 10.1145/2396761.2396886  1
2012 Talukdar PP, Wijaya D, Mitchell T. Coupled Temporal Scoping of relational facts Wsdm 2012 - Proceedings of the 5th Acm International Conference On Web Search and Data Mining. 73-82. DOI: 10.1145/2124295.2124307  1
2012 Krishnamurthy J, Mitchell TM. Weakly supervised training of semantic parsers Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 754-765.  1
2012 Murphy B, Talukdar PP, Mitchell T. Learning effective and interpretable semantic models using non-negative sparse embedding 24th International Conference On Computational Linguistics - Proceedings of Coling 2012: Technical Papers. 1933-1950.  1
2012 Fyshe A, Fox E, Dunson D, Mitchell T. Hierarchical latent dictionaries for models of brain activation Journal of Machine Learning Research. 22: 409-421.  1
2011 Mitchell TM. From journal articles to computational models: a new automated tool. Nature Methods. 8: 627-8. PMID 21799495 DOI: 10.1038/nmeth.1661  1
2011 Shinkareva SV, Malave VL, Mason RA, Mitchell TM, Just MA. Commonality of neural representations of words and pictures. Neuroimage. 54: 2418-25. PMID 20974270 DOI: 10.1016/j.neuroimage.2010.10.042  1
2011 Chang KM, Mitchell T, Just MA. Quantitative modeling of the neural representation of objects: how semantic feature norms can account for fMRI activation. Neuroimage. 56: 716-27. PMID 20451625 DOI: 10.1016/j.neuroimage.2010.04.271  1
2011 Krishnamurthy J, Mitchell TM. Which noun phrases denote which concepts? Acl-Hlt 2011 - Proceedings of the 49th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies. 1: 570-580.  1
2011 Mohamed TP, Hruschka ER, Mitchell TM. Discovering relations between noun categories Emnlp 2011 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 1447-1455.  1
2011 Lao N, Mitchell T, Cohen WW. Random walk inference and learning in a large scale knowledge base Emnlp 2011 - Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 529-539.  1
2010 Just MA, Cherkassky VL, Aryal S, Mitchell TM. A neurosemantic theory of concrete noun representation based on the underlying brain codes. Plos One. 5: e8622. PMID 20084104 DOI: 10.1371/journal.pone.0008622  1
2010 Carlson A, Betteridge J, Wang RC, Hruschka ER, Mitchell TM. Coupled semi-supervised learning for information extraction Wsdm 2010 - Proceedings of the 3rd Acm International Conference On Web Search and Data Mining. 101-110. DOI: 10.1145/1718487.1718501  1
2010 Law E, Settles B, Mitchell T. Learning to tag from open vocabulary labels Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6322: 211-226. DOI: 10.1007/978-3-642-15883-4_14  1
2010 Carlson A, Betteridge J, Kisiel B, Settles B, Hruschka ER, Mitchell TM. Toward an architecture for never-ending language learning Proceedings of the National Conference On Artificial Intelligence. 3: 1306-1313.  1
2010 Mitchell T. Response Science. 327: 1327.  1
2009 Mitchell TM. Computer science. Mining our reality. Science (New York, N.Y.). 326: 1644-5. PMID 20019279 DOI: 10.1126/science.1174459  1
2009 Shi Y, Klutstein M, Simon I, Mitchell T, Bar-Joseph Z. A combined expression-interaction model for inferring the temporal activity of transcription factors Journal of Computational Biology. 16: 1035-1049. PMID 19630541 DOI: 10.1089/cmb.2009.0024  1
2009 Hutchinson RA, Niculescu RS, Keller TA, Rustandi I, Mitchell TM. Modeling fMRI data generated by overlapping cognitive processes with unknown onsets using Hidden Process Models. Neuroimage. 46: 87-104. PMID 19457397 DOI: 10.1016/j.neuroimage.2009.01.025  1
2009 Pereira F, Mitchell T, Botvinick M. Machine learning classifiers and fMRI: a tutorial overview. Neuroimage. 45: S199-209. PMID 19070668 DOI: 10.1016/j.neuroimage.2008.11.007  1
2009 Law E, Von Ahn L, Mitchell T. Search war: A game for improving web search Proceedings of the Acm Sigkdd Workshop On Human Computation, Hcomp '09. 31. DOI: 10.1145/1600150.1600160  1
2009 Mitchell TM, Carlson A, Hruschka E, Wang R. Populating the semantic web by macro-reading internet text Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5823: 998-1002. DOI: 10.1007/978-3-642-04930-9_66  1
2009 Palatucci M, Pomerleau D, Hinton G, Mitchell TM. Zero-shot learning with semantic output codes Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1410-1418.  1
2009 Huang Y, Mitchell TM. Toward mixed-initiative email clustering Aaai Spring Symposium - Technical Report. 71-78.  1
2008 Mitchell TM, Shinkareva SV, Carlson A, Chang KM, Malave VL, Mason RA, Just MA. Predicting human brain activity associated with the meanings of nouns. Science (New York, N.Y.). 320: 1191-5. PMID 18511683 DOI: 10.1126/science.1152876  1
2008 Shinkareva SV, Mason RA, Malave VL, Wang W, Mitchell TM, Just MA. Using FMRI brain activation to identify cognitive states associated with perception of tools and dwellings. Plos One. 3: e1394. PMID 18167553 DOI: 10.1371/journal.pone.0001394  1
2008 Mitchell TM. Computational models of neural representations in the human brain Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5254: 5-6. DOI: 10.1007/978-3-540-87987-9_5  1
2008 Huang Y, Mitchell TM. Exploring hierarchical user feedback in email clustering Aaai Workshop - Technical Report. 36-41.  1
2007 Niculescu RS, Mitchell TM, Rao RB. Modeling the fMRI signal via Hierarchical Clustered Hidden Process Models. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 558-62. PMID 18693898  1
2007 Shi Y, Klustein M, Simon I, Mitchell T, Bar-Joseph Z. Continuous hidden process model for time series expression experiments Bioinformatics. 23: i459-i467. PMID 17646331 DOI: 10.1093/bioinformatics/btm218  1
2007 Shi Y, Mitchell T, Bar-Joseph Z. Inferring pairwise regulatory relationships from multiple time series datasets Bioinformatics. 23: 755-763. PMID 17237067 DOI: 10.1093/bioinformatics/btl676  1
2007 Chang LY, Pollard NS, Mitchell TM, Xing EP. Feature selection for grasp recognition from optical markers Ieee International Conference On Intelligent Robots and Systems. 2944-2950. DOI: 10.1109/IROS.2007.4399115  1
2007 Palatucci M, Mitchell TM. Classification in very high dimensional problems with handfuls of examples Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4702: 212-223.  1
2007 Mitchell TM. Learning, information extraction and the web Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4702: 1.  1
2007 Hillis D, McCarthy J, Mitchell TM, Mueller ET, Riecken D, Sloman A, Winston PH. In honor of Marvin Minsky's contributions on his 80th birthday Ai Magazine. 28: 103-110.  1
2007 Niculescu RS, Mitchell TM, Rao RB. A theoretical framework for learning Bayesian networks with parameter inequality constraints Ijcai International Joint Conference On Artificial Intelligence. 155-160.  1
2006 Chen X, Pereira F, Lee W, Strother S, Mitchell T. Exploring predictive and reproducible modeling with the single-subject FIAC dataset. Human Brain Mapping. 27: 452-61. PMID 16565951 DOI: 10.1002/hbm.20243  1
2006 Hutchinson RA, Mitchell TM, Rustandi I. Hidden process models Acm International Conference Proceeding Series. 148: 433-440. DOI: 10.1145/1143844.1143899  1
2006 Mitchell TM, Wang SH, Huang Y, Cheyer A. Extracting knowledge about users' activities from raw workstation contents Proceedings of the National Conference On Artificial Intelligence. 1: 181-186.  1
2006 Huang Y, Mitchell TM. Text clustering with extended user feedback Proceedings of the Twenty-Ninth Annual International Acm Sigir Conference On Research and Development in Information Retrieval. 2006: 413-420.  1
2006 Niculescu RS, Mitchell TM, Rao RB. Bayesian network learning with parameter constraints Journal of Machine Learning Research. 7: 1357-1383.  1
2005 Cooper SL. The licensure mobility experience within the United States. Optometry (St. Louis, Mo.). 76: 347-52. PMID 15984632 DOI: 10.1016/j.jbi.2005.02.005  1
2005 Qiong C, Mitchell TM. Learning topic-based mixture models for factored classification Proceedings - International Conference On Computational Intelligence For Modelling, Control and Automation, Cimca 2005 and International Conference On Intelligent Agents, Web Technologies and Internet. 1: 25-31.  1
2005 Niculescu RS, Mitchell TM, Bharat Rao R. Exploiting parameter related domain knowledge for learning in graphical models Proceedings of the 2005 Siam International Conference On Data Mining, Sdm 2005. 310-321.  1
2005 Mitchell T. Machine learning for analyzing human brain function Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3518: 1.  1
2005 Neill DB, Moore AW, Pereira F, Mitchell T. Detecting significant multidimensional spatial clusters Advances in Neural Information Processing Systems 1
2004 Mitchell TM, Hutchinson R, Niculescu RS, Pereira F, Wang X, Just M, Newman S. Learning to decode cognitive states from brain images Machine Learning. 57: 145-175. DOI: 10.1023/B:MACH.0000035475.85309.1b  1
2004 Mitchell TM. Intelligent workstation agents and unstructured workstation data Proceedings - Ieee/Wic/Acm International Conference On Intelligent Agent Technology. Iat 2004. 6.  1
2004 Wang X, Hutchinson R, Mitchell TM. Training fMRI classifiers to discriminate cognitive states across multiple subjects Advances in Neural Information Processing Systems 1
2003 Mitchell TM, Hutchinson R, Just MA, Niculescu RS, Pereira F, Wang X. Classifying instantaneous cognitive states from FMRI data. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 465-9. PMID 14728216  1
2003 Hamilton DM, Mitchell TM, Hamilton CM. Al Matures and Flourishes in North America Ieee Intelligent Systems. 18: 87-89. DOI: 10.1109/MIS.2003.1217633  1
2001 Mitchell T. Author's response to reviews of Machine learning Artificial Intelligence. 131: 223-225. DOI: 10.1016/S0004-3702(01)00142-4  1
2001 Mitchell T. Extracting targeted data from the Web Proceedings of the Seventh Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 3.  1
2000 Sims CJ, Meyn L, Caruana R, Rao RB, Mitchell T, Krohn M. Predicting cesarean delivery with decision tree models. American Journal of Obstetrics and Gynecology. 183: 1198-206. PMID 11084566 DOI: 10.1067/mob.2000.108891  1
2000 Craven M, Dipasquo D, Freitag D, McCallum A, Mitchell T, Nigam K, Slattery S. Learning to construct knowledge bases from the World Wide Web Artificial Intelligence. 118: 69-113. DOI: 10.1016/S0004-3702(00)00004-7  1
2000 Nigam K, Mccallum AK, Thrun S, Mitchell T. Text classification from labeled and unlabeled documents using EM Machine Learning. 39: 103-134.  1
1999 Mitchell TM. Machine Learning and Data Mining Communications of the Acm. 42: 31-36.  1
1999 Thrun S, Faloutsos C, Mitchell T, Wasserman L. Automated learning and discovery - state of the art and research topics in a rapidly growing field Ai Magazine. 20: 78-82.  1
1998 Blum A, Mitchell T. Combining labeled and unlabeled data with co-training Proceedings of the Annual Acm Conference On Computational Learning Theory. 92-100.  1
1998 Nigam K, McCallum A, Thrun S, Mitchell T. Learning to classify text from labeled and unlabeled documents Proceedings of the National Conference On Artificial Intelligence. 792-799.  1
1998 Craven M, DiPasquo D, Freitag D, McCallum A, Mitchell T, Nigam K, Slattery S. Learning to extract symbolic knowledge from the World Wide Web Proceedings of the National Conference On Artificial Intelligence. 509-516.  1
1997 Cooper GF, Aliferis CF, Ambrosino R, Aronis J, Buchanan BG, Caruana R, Fine MJ, Glymour C, Gordon G, Hanusa BH, Janosky JE, Meek C, Mitchell T, Richardson T, Spirtes P. An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine. 9: 107-38. PMID 9040894 DOI: 10.1016/S0933-3657(96)00367-3  1
1997 Mitchell TM. Does machine learning really work? Ai Magazine. 18: 11-20.  1
1995 Thrun S, Mitchell TM. Lifelong robot learning Robotics and Autonomous Systems. 15: 25-46. DOI: 10.1016/0921-8890(95)00004-Y  1
1995 Mitchell TM. Machine learning in the world wide web Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 912: 32-32.  1
1994 Mitchell T, Carahuana R, Freitag D, McDermott J, Zabowski D. Experience with a learning personal assistant Communications of the Acm. 37: 81-91. DOI: 10.1145/176789.176798  1
1993 Demes GH, Fenves SJ, Grossmann IE, Chris CT, Hendrickson H, Mitchell TM, Prinz FB, Daniel DP, Siewiorek S, Subrahmanian E, Talukdar S, Westerberg AW. The Engineering Design Research Center of Carnegie Mellon University Proceedings of the Ieee. 81: 10-24. DOI: 10.1109/JPROC.1993.752023  1
1993 Mahadevan S, Mitchell TM, Mostow J, Steinberg L, Tadepalli PV. An apprentice-based approach to knowledge acquisition Artificial Intelligence. 64: 1-52. DOI: 10.1016/0004-3702(93)90059-K  1
1992 Dent L, Boticario J, McDermott J, Mitchell T, Zabowski D. Personal learning apprentice Proceedings Tenth National Conference On Artificial Intelligence. 96-103.  1
1991 Christiansen AD, Mason MT, Mitchell TM. Learning reliable manipulation strategies without initial physical models Robotics and Autonomous Systems. 8: 7-18. DOI: 10.1016/0921-8890(91)90011-9  1
1989 Bares J, Hebert M, Kanade T, Krotkov E, Mitchell T, Simmons R, Whittaker W. Ambler: An Autonomous Rover for Planetary Exploration Computer. 22: 18-26. DOI: 10.1109/2.30717  1
1989 Tanaka T, Mitchell TM. Embedding learning in a general frame-based architecture . 77-84.  1
1986 Mitchell TM, Keller RM, Kedar-Cabelli ST. Explanation-Based Generalization: A Unifying View Machine Learning. 1: 47-80. DOI: 10.1023/A:1022691120807  1
1986 Langrana NA, Mitchell TM, Ramchandran N. PROGRESS TOWARD A KNOWLEDGE-BASED AID FOR MECHANICAL DESIGN American Society of Mechanical Engineers, Production Engineering Division (Publication) Ped. 21: 45-61.  1
1985 Mitchell TM, Steinberg LI, Shulman JS. A knowledge-based approach to design. Ieee Transactions On Pattern Analysis and Machine Intelligence. 7: 502-10. PMID 21869288 DOI: 10.1109/TPAMI.1985.4767698  1
1985 Steinberg LI, Mitchell TM. REDESIGN SYSTEM: A KNOWLEDGE-BASED APPROACH TO VLSI CAD Ieee Design and Test of Computers. 2: 45-54. DOI: 10.1109/MDT.1985.294684  1
1984 Waltz D, Genesreth M, Hart P, Hartmanis J, Hendrix GG, Joshi AK, McDermott J, Mitchell T, Moses J, Nilsson N, Wilensky R, Woods WA. ARTIFICIAL INTELLIGENCE . 56-66.  1
1982 Mitchell TM. Generalization as search Artificial Intelligence. 18: 203-226. DOI: 10.1016/0004-3702(82)90040-6  1
1973 Huang YC, Hammitt FG, Mitchell TM. Note on shock-wave velocity in high-speed liquid-solid impact Journal of Applied Physics. 44: 1868-1869. DOI: 10.1063/1.1662464  0.72
1973 Mitchell TM, Hammitt FG. ASYMMETRIC CAVITATION BUBBLE COLLAPSE Journal of Fluids Engineering, Transactions of the Asme. 95: 29-37.  0.72
1967 Hammit FG, Pitek MT, Lafferty JF, Kemppainen DJ, Cheesewright R, Mitchell TM. Laboratory scale devices for rain erosion simulation 0.72
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