Tom Mitchell

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Sebastian ThrunProfessor of Computer Science, StanfordVerified email at stanford.edu
Partha TalukdarGoogle Research and IISc BangaloreVerified email at iisc.ac.in
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityVerified email at cmu.edu
Estevam HruschkaMegagon LabsVerified email at megagon.ai
Kamal NigamGoogleVerified email at kamalnigam.com
Dayne FreitagProgram Director, SRI InternationalVerified email at ai.sri.com
Andy CarlsonCarnegie MellonVerified email at cs.cmu.edu
Justin BetteridgePhD Student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Emmanouil Antonios PlataniosResearch Scientist, Scaled CognitionVerified email at scaledcognition.com
Brian R. MurphyProfessor of Fisheries Science, Virginia TechVerified email at vt.edu
Francisco PereiraMachine Learning Core, National Institute of Mental HealthVerified email at nih.gov
Bruce BuchananUniversity Professor of Computer Science (Emeritus), University of PittsburghVerified email at cs.pitt.edu
Amos AzariaComputer Science Dpt. Ariel University, IsraelVerified email at ariel.ac.il
Rich CaruanaMicrosoft ResearchVerified email at microsoft.com
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of AlbertaVerified email at ualberta.ca
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabVerified email at stanford.edu
Rebecca HutchinsonOregon State UniversityVerified email at eecs.orst.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu

Tom Mitchell

Founders University Professor of Machine Learning, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Machine Learning cognitive neuroscience natural language understanding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Machine learning TM Mitchell, TM Mitchell McGraw-hill 1 (9), 1997	39007	1997
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	9183	2015
Combining labeled and unlabeled data with co-training A Blum, T Mitchell Proceedings of the eleventh annual conference on Computational learning …, 1998	7650	1998
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39, 103-134, 2000	4309	2000
Machine learning: An artificial intelligence approach RS Michalski, JG Carbonell, TM Mitchell Springer Science & Business Media, 2013	3782*	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	3026	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	2497	2010
Explanation-based generalization: A unifying view TM Mitchell, RM Keller, ST Kedar-Cabelli Machine learning 1, 47-80, 1986	2486	1986
Generalization as search TM Mitchell Artificial intelligence 18 (2), 203-226, 1982	2383	1982
Machine learning classifiers and fMRI: a tutorial overview F Pereira, T Mitchell, M Botvinick Neuroimage 45 (1), S199-S209, 2009	1965	2009
Machine learning: a guide to current research, vol. 12 TM Mitchell, JG Carbonell, RS Michalski Springer Science & Business Media, 1986	1963*	1986
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	1461	2008
Webwatcher: A tour guide for the world wide web T Joachims, D Freitag, T Mitchell IJCAI (1), 770-777, 1997	1327	1997
Never-Ending Learning AAAI Conference on Artificial Intelligence, 2015	1309*	2015
Zero-shot learning with semantic output codes M Palatucci, D Pomerleau, GE Hinton, TM Mitchell Advances in neural information processing systems 22, 2009	1278	2009
What can machine learning do? Workforce implications E Brynjolfsson, T Mitchell Science 358 (6370), 1530-1534, 2017	1263	2017
The need for biases in learning generalizations TM Mitchell Department of Computer Science, Laboratory for Computer Science Research …, 1980	1257	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	1078	1998
Webwatcher: A learning apprentice for the world wide web R Armstrong, D Freitag, T Joachims, T Mitchell AAAI Spring symposium on Information gathering from Heterogeneous …, 1995	1005	1995
The discipline of machine learning TM Mitchell Carnegie Mellon University, School of Computer Science, Machine Learning …, 2006	995	2006

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