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Tom Mitchell
Tom Mitchell
Founders University Professor of Machine Learning, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning
TM Mitchell, TM Mitchell
McGraw-hill 1 (9), 1997
388201997
Machine learning: Trends, perspectives, and prospects
MI Jordan, TM Mitchell
Science 349 (6245), 255-260, 2015
90192015
Combining labeled and unlabeled data with co-training
A Blum, T Mitchell
Proceedings of the eleventh annual conference on Computational learning …, 1998
76371998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
43002000
Machine learning: An artificial intelligence approach
RS Michalski, JG Carbonell, TM Mitchell
Springer Science & Business Media, 2013
3772*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
30252001
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
24882010
Explanation-based generalization: A unifying view
TM Mitchell, RM Keller, ST Kedar-Cabelli
Machine learning 1, 47-80, 1986
24771986
Generalization as search
TM Mitchell
Artificial intelligence 18 (2), 203-226, 1982
23801982
Machine learning classifiers and fMRI: a tutorial overview
F Pereira, T Mitchell, M Botvinick
Neuroimage 45 (1), S199-S209, 2009
19592009
Machine learning: a guide to current research, vol. 12
TM Mitchell, JG Carbonell, RS Michalski
Springer Science & Business Media, 1986
1948*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
14582008
Webwatcher: A tour guide for the world wide web
T Joachims, D Freitag, T Mitchell
IJCAI (1), 770-777, 1997
13261997
Never-Ending Learning
AAAI Conference on Artificial Intelligence, 2015
1302*2015
Zero-shot learning with semantic output codes
M Palatucci, D Pomerleau, GE Hinton, TM Mitchell
Advances in neural information processing systems 22, 2009
12692009
The need for biases in learning generalizations
TM Mitchell
Department of Computer Science, Laboratory for Computer Science Research …, 1980
12541980
What can machine learning do? Workforce implications
E Brynjolfsson, T Mitchell
Science 358 (6370), 1530-1534, 2017
12432017
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
10761998
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
10051995
The discipline of machine learning
TM Mitchell
Carnegie Mellon University, School of Computer Science, Machine Learning …, 2006
9862006
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