Conference Learning topic-based mixture models for factored classification 2006 • INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS • 25-+ Chen Q, Mitchell TM
Conference Learning topic-based mixture models for factored classification 2006 • INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 1, PROCEEDINGS • 1114-+ Chen Q, Mitchell TM
Conference Detecting significant multidimensional spatial clusters 2005 • Advances in Neural Information Processing Systems Neill DB, Moore AW, Pereira F, Mitchell T
Conference Exploiting Parameter Related Domain Knowledge for Learning in Graphical Models 2005 • PROCEEDINGS OF THE FIFTH SIAM INTERNATIONAL CONFERENCE ON DATA MINING • 310-321 Niculescu RS, Mitchell TM, Rao RB
Conference Machine Learning for Analyzing Human Brain Function 2005 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 3518:1-1 Mitchell T
Journal Article Predicting dire outcomes of patients with community acquired pneumonia 2005 • Journal of Biomedical Informatics • 38(5):347-366 Cooper GF, Abraham V, Aliferis CF, Aronis JM, Buchanan BG, Caruana R, Fine MJ, Janosky JE, Livingston G, Mitchell T, Monti S, Spirtes P
Conference Learning to classify email into "speech acts" 2004 • Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing Emnlp 2004 A Meeting of Sigdat A Special Interest Group of the Acl Held in Conjunction with Acl 2004 • 309-316 Cohen WW, Carvalho VR, Mitchell TM
Journal Article Learning to decode cognitive states from brain images 2004 • Machine Learning • 57(1-2):145-175 Mitchell TM, Hutchinson R, Niculescu RS, Pereira F, Wang XR, Just M, Newman S
Chapter The Role of Unlabeled Data in Supervised Learning 2004 • Philosophical Studies Series • 103-111 Mitchell TM
Conference Training fMRI classifiers to discriminate cognitive states across multiple subjects 2004 • Advances in Neural Information Processing Systems • 16:709-716 Wang XR, Hutchinson R, Mitchell TM
Journal Article AI matures and flourishes in North America 2003 • IEEE Intelligent Systems • 18(4):87-cover3 Hamilton DM, Mitchell TM, Hamilton CM
Conference Artificial Intelligence and Human Brain Imaging 2003 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 2671:7-7 Mitchell TM
Journal Article Classifying instantaneous cognitive states from FMRI data. 2003 • Proceedings / AMIA ... Annual Symposium. AMIA Symposium • 2003:465-469 Mitchell TM, Hutchinson R, Just MA, Niculescu RS, Pereira F, Wang X
Journal Article Improving Text Classification by Shrinkage 2002 Research J, Rosenfeld R, Mitchell T, Ng AY
Journal Article Author's response to reviews of Machine Learning 2001 • Artificial Intelligence • 131(1-2):223-225 Mitchell T
Conference Distinguishing Natural Language Processes on the Basis of fMRI-Measured Brain Activation 2001 • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) • 2168:374-385 Pereira F, Just M, Mitchell T
Journal Article Learning to construct knowledge bases from the World Wide Web 2000 • Artificial Intelligence • 118(1-2):69-113 Craven M, DiPasquo D, Freitag D, McCallum A, Mitchell T, Nigam K, Slattery S
Conference Predicting cesarean delivery with decision tree models 2000 • American Journal of Obstetrics and Gynecology • 183(5):1198-1206 Sims CJ, Meyn L, Caruana R, Rao RB, Mitchell T, Krohn M
Journal Article Text Classification from Labeled and Unlabeled Documents using EM 2000 • Machine Learning • 39(2-3):103-134 Nigam K, Mccallum AK, Thrun S, Mitchell T
Journal Article Automated learning and discovery - State of the art and research topics in a rapidly growing field 1999 • AI Magazine • 20(3):78-82 Thrun S, Faloutsos C, Mitchell T, Wasserman L
Journal Article Machine learning and data mining 1999 • Communications of the ACM • 42(11):30-36 Mitchell TM
