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Kamal Nigam
Kamal Nigam
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A comparison of event models for naive bayes text classification
A McCallum, K Nigam
AAAI-98 workshop on learning for text categorization 752 (1), 41-48, 1998
58001998
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
42582000
Efficient clustering of high-dimensional data sets with application to reference matching
A McCallum, K Nigam, LH Ungar
Proceedings of the sixth ACM SIGKDD international conference on Knowledge ¡¦, 2000
15952000
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3, 127-163, 2000
14722000
Analyzing the effectiveness and applicability of co-training
K Nigam, R Ghani
Proceedings of the ninth international conference on Information and ¡¦, 2000
14702000
Using maximum entropy for text classification
K Nigam, J Lafferty, A McCallum
IJCAI-99 workshop on machine learning for information filtering 1 (1), 61-67, 1999
14071999
Employing EM and Pool-Based Active Learning for Text Classification.
A McCallum, K Nigam
ICML 98, 350-358, 1998
12691998
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
Learning to construct knowledge bases from the World Wide Web
M Craven, D DiPasquo, D Freitag, A McCallum, T Mitchell, K Nigam, ...
Artificial intelligence 118 (1-2), 69-113, 2000
7012000
Using EM to classify text from labeled and unlabeled documents
K Nigam, A MacCallum, S Thrun
Carnegie-Mellon University. Department of Computer Science, 1998
6111998
Using EM to classify text from labeled and unlabeled documents
K Nigam, A MacCallum, S Thrun
Carnegie-Mellon University. Department of Computer Science, 1998
5791998
Using EM to classify text from labeled and unlabeled documents
K Nigam, A MacCallum, S Thrun
Carnegie-Mellon University. Department of Computer Science, 1998
5791998
Intrusive software management
N Provos, Y Zhou, CW Bavor, EL Davis, M Palatucci, KP Nigam, ...
US Patent App. 12/041,309, 2009
2932009
A machine learning approach to building domain-specific search engines
A McCallum, K Nigam, J Rennie, K Seymore
IJCAI 99, 662-667, 1999
2921999
Topical sentiments in electronically stored communications
KP Nigam, MF Hurst
US Patent 7,523,085, 2009
2862009
Topical sentiments in electronically stored communications
KP Nigam, MF Hurst
US Patent 7,523,085, 2009
2862009
Deriving marketing intelligence from online discussion
N Glance, M Hurst, K Nigam, M Siegler, R Stockton, T Tomokiyo
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge ¡¦, 2005
2772005
Building domain-specific search engines with machine learning techniques
A McCallumzy, K Nigamy, J Renniey, K Seymorey
Proceedings of the AAAI Spring Symposium on Intelligent Agents in Cyberspace ¡¦, 1999
2621999
Using unlabeled data to improve text classification
KP Nigam
Carnegie Mellon University, 2001
2402001
Semi-supervised text classification using EM
K Nigam, A McCallum, T Mitchell
2182006
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