Tom Mitchell

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Sebastian ThrunProfessor of Computer Science, StanfordAdresse e-mail validée de stanford.edu
Partha TalukdarGoogle Research and IISc BangaloreAdresse e-mail validée de iisc.ac.in
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Marcel JustProfessor of Psychology, Carnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Estevam HruschkaMegagon LabsAdresse e-mail validée de megagon.ai
Kamal NigamGoogleAdresse e-mail validée de kamalnigam.com
Dayne FreitagProgram Director, SRI InternationalAdresse e-mail validée de ai.sri.com
Andy CarlsonGoogleAdresse e-mail validée de cs.cmu.edu
Justin BetteridgePhD Student, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Emmanouil Antonios PlataniosResearch Scientist, Scaled CognitionAdresse e-mail validée de scaledcognition.com
Brian R. MurphyProfessor of Fisheries Science, Virginia TechAdresse e-mail validée de vt.edu
Amos AzariaComputer Science Dpt. Ariel University, IsraelAdresse e-mail validée de ariel.ac.il
Francisco PereiraMachine Learning Core, National Institute of Mental HealthAdresse e-mail validée de nih.gov
Bruce BuchananUniversity Professor of Computer Science (Emeritus), University of PittsburghAdresse e-mail validée de cs.pitt.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Alona FysheAssociate Professor, Dept. of Computing Science & Dept. of Psychology, University of AlbertaAdresse e-mail validée de ualberta.ca
Rich CaruanaMicrosoft ResearchAdresse e-mail validée de microsoft.com
Erik BrynjolfssonProfessor at Stanford; NBER; Stanford Digital Economy LabAdresse e-mail validée de stanford.edu
Rebecca HutchinsonOregon State UniversityAdresse e-mail validée de eecs.orst.edu
Leila WehbeCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu

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Tom Mitchell

Founders University Professor of Machine Learning, Carnegie Mellon University

Adresse e-mail validée de cs.cmu.edu - Page d'accueil

Machine Learning cognitive neuroscience natural language understanding


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Machine learning TM Mitchell, TM Mitchell McGraw-hill 1 (9), 1997	40247	1997
Machine learning: Trends, perspectives, and prospects MI Jordan, TM Mitchell Science 349 (6245), 255-260, 2015	10690	2015
Combining labeled and unlabeled data with co-training A Blum, T Mitchell Proceedings of the eleventh annual conference on Computational learning …, 1998	7815	1998
Text classification from labeled and unlabeled documents using EM K Nigam, AK McCallum, S Thrun, T Mitchell Machine learning 39, 103-134, 2000	4373	2000
Machine learning: An artificial intelligence approach RS Michalski, JG Carbonell, TM Mitchell Springer Science & Business Media, 2013	3885*	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	3044	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	2599	2010
Explanation-based generalization: A unifying view TM Mitchell, RM Keller, ST Kedar-Cabelli Machine learning 1, 47-80, 1986	2519	1986
Generalization as search TM Mitchell Artificial intelligence 18 (2), 203-226, 1982	2413	1982
Machine learning: a guide to current research, vol. 12 TM Mitchell, JG Carbonell, RS Michalski Springer Science & Business Media, 1986	2039*	1986
Machine learning classifiers and fMRI: a tutorial overview F Pereira, T Mitchell, M Botvinick Neuroimage 45 (1), S199-S209, 2009	2019	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	1493	2008
What can machine learning do? Workforce implications E Brynjolfsson, T Mitchell Science 358 (6370), 1530-1534, 2017	1443	2017
Never-Ending Learning AAAI Conference on Artificial Intelligence, 2015	1384*	2015
Zero-shot learning with semantic output codes M Palatucci, D Pomerleau, GE Hinton, TM Mitchell Advances in neural information processing systems 22, 2009	1346	2009
Webwatcher: A tour guide for the world wide web T Joachims, D Freitag, T Mitchell IJCAI (1), 770-777, 1997	1333	1997
The need for biases in learning generalizations TM Mitchell Department of Computer Science, Laboratory for Computer Science Research …, 1980	1304	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	1096	1998
An overview of machine learning JG Carbonell, RS Michalski, TM Mitchell Machine learning, 3-23, 1983	1057	1983
The discipline of machine learning TM Mitchell Carnegie Mellon University, School of Computer Science, Machine Learning …, 2006	1035	2006

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