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Tom Mitchell
Tom Mitchell
Founders University Professor of Machine Learning, Carnegie Mellon University
cs.cmu.eduÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
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Machine learning: Trends, perspectives, and prospects
MI Jordan, TM Mitchell
Science 349 (6245), 255-260, 2015
81322015
Combining labeled and unlabeled data with co-training
A Blum, T Mitchell
Proceedings of the eleventh annual conference on Computational learning ¡¦, 1998
75401998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
42562000
Machine learning: An artificial intelligence approach
RS Michalski, JG Carbonell, TM Mitchell
Springer Science & Business Media, 2013
3711*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
29962001
Explanation-based generalization: A unifying view
TM Mitchell, RM Keller, ST Kedar-Cabelli
Machine learning 1, 47-80, 1986
24581986
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
24272010
Generalization as search
TM Mitchell
Artificial intelligence 18 (2), 203-226, 1982
23511982
Machine learning classifiers and fMRI: a tutorial overview
F Pereira, T Mitchell, M Botvinick
Neuroimage 45 (1), S199-S209, 2009
19172009
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
14282008
Webwatcher: A tour guide for the world wide web
T Joachims, D Freitag, T Mitchell
IJCAI (1), 770-777, 1997
13141997
Never-Ending Learning
AAAI Conference on Artificial Intelligence, 2015
1253*2015
Zero-shot learning with semantic output codes
M Palatucci, D Pomerleau, GE Hinton, TM Mitchell
Advances in neural information processing systems 22, 2009
12242009
The need for biases in learning generalizations
TM Mitchell
Department of Computer Science, Laboratory for Computer Science Research ¡¦, 1980
12181980
What can machine learning do? Workforce implications
E Brynjolfsson, T Mitchell
Science 358 (6370), 1530-1534, 2017
11382017
Machine learning: a guide to current research, vol. 12
TM Mitchell, JG Carbonell, RS Michalski
Springer Science & Business Media, 1986
1112*1986
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
10561998
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
9941995
The discipline of machine learning
TM Mitchell
Carnegie Mellon University, School of Computer Science, Machine Learning ¡¦, 2006
9562006
An overview of machine learning
JG Carbonell, RS Michalski, TM Mitchell
Machine learning, 3-23, 1983
9261983
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