Tom Mitchell

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Sebastian ThrunProfessor of Computer Science, Stanford確認したメールアドレス: stanford.edu
Partha TalukdarGoogle Research and IISc Bangalore確認したメールアドレス: iisc.ac.in
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts Amherst確認したメールアドレス: cs.umass.edu
Marcel JustProfessor of Psychology, Carnegie Mellon University確認したメールアドレス: cmu.edu
Estevam HruschkaMegagon Labs確認したメールアドレス: megagon.ai
Kamal NigamGoogle確認したメールアドレス: kamalnigam.com
Dayne FreitagProgram Director, SRI International確認したメールアドレス: ai.sri.com
Andy CarlsonCarnegie Mellon確認したメールアドレス: cs.cmu.edu
Justin BetteridgePhD Student, Carnegie Mellon University確認したメールアドレス: cs.cmu.edu
Emmanouil Antonios PlataniosResearch Scientist, Scaled Cognition確認したメールアドレス: scaledcognition.com
Brian R. MurphyProfessor of Fisheries Science, Virginia Tech確認したメールアドレス: vt.edu
Amos AzariaComputer Science Dpt. Ariel University, Israel確認したメールアドレス: ariel.ac.il
Francisco PereiraMachine Learning Core, National Institute of Mental Health確認したメールアドレス: nih.gov
Bruce BuchananUniversity Professor of Computer Science (Emeritus), University of Pittsburgh確認したメールアドレス: cs.pitt.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley確認したメールアドレス: cs.berkeley.edu
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of Alberta確認したメールアドレス: ualberta.ca
Rich CaruanaMicrosoft Research確認したメールアドレス: microsoft.com
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy Lab確認したメールアドレス: stanford.edu
Rebecca HutchinsonOregon State University確認したメールアドレス: eecs.orst.edu
Leila WehbeCarnegie Mellon University確認したメールアドレス: cmu.edu

フォロー

Tom Mitchell

Founders University Professor of Machine Learning, Carnegie Mellon University

確認したメールアドレス: cs.cmu.edu - ホームページ

Machine Learning cognitive neuroscience natural language understanding


タイトル引用回数順公開年順タイトル順	引用先引用先	年
Machine learning TM Mitchell, TM Mitchell McGraw-hill 1 (9), 1997	39924	1997
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10242	2015
Combining labeled and unlabeled data with co-training A Blum, T Mitchell Proceedings of the eleventh annual conference on Computational learning …, 1998	7771	1998
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39, 103-134, 2000	4355	2000
Machine learning: An artificial intelligence approach RS Michalski Springer Science & Business Media, 2013	3858*	2013
Global analysis of protein activities using proteome chips H Zhu, M Bilgin, R Bangham, D Hall, A Casamayor, P Bertone, N Lan, ... science 293 (5537), 2101-2105, 2001	3034	2001
Toward an architecture for never-ending language learning A Carlson, J Betteridge, B Kisiel, B Settles, E Hruschka, T Mitchell Proceedings of the AAAI conference on artificial intelligence 24 (1), 1306-1313, 2010	2574	2010
Explanation-based generalization: A unifying view TM Mitchell, RM Keller, ST Kedar-Cabelli Machine learning 1, 47-80, 1986	2505	1986
Generalization as search TM Mitchell Artificial intelligence 18 (2), 203-226, 1982	2407	1982
Machine learning: a guide to current research, vol. 12 TM Mitchell, JG Carbonell, RS Michalski Springer Science & Business Media, 1986	2025*	1986
Machine learning classifiers and fMRI: a tutorial overview F Pereira, T Mitchell, M Botvinick Neuroimage 45 (1), S199-S209, 2009	2003	2009
Predicting human brain activity associated with the meanings of nouns TM Mitchell, SV Shinkareva, A Carlson, KM Chang, VL Malave, RA Mason, ... science 320 (5880), 1191-1195, 2008	1479	2008
What can machine learning do? Workforce implications E Brynjolfsson, T Mitchell Science 358 (6370), 1530-1534, 2017	1391	2017
Never-Ending Learning AAAI Conference on Artificial Intelligence, 2015	1363*	2015
Webwatcher: A tour guide for the world wide web T Joachims, D Freitag, T Mitchell IJCAI (1), 770-777, 1997	1332	1997
Zero-shot learning with semantic output codes M Palatucci, D Pomerleau, GE Hinton, TM Mitchell Advances in neural information processing systems 22, 2009	1327	2009
The need for biases in learning generalizations TM Mitchell Department of Computer Science, Laboratory for Computer Science Research …, 1980	1283	1980
Learning to extract symbolic knowledge from the World Wide Web M Craven, D DiPasquo, D Freitag, A McCallum, T Mitchell, K Nigam, ... AAAI/IAAI 3 (3.6), 2, 1998	1090	1998
An overview of machine learning JG Carbonell, RS Michalski, TM Mitchell Machine learning, 3-23, 1983	1035	1983
The discipline of machine learning TM Mitchell Carnegie Mellon University, School of Computer Science, Machine Learning …, 2006	1032	2006

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