Kamal Nigam
Kamal Nigam
E-mail megerősítve itt: kamalnigam.com
Hivatkozott rá
Hivatkozott rá
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
Text classification from labeled and unlabeled documents using EM
K Nigam, AK McCallum, S Thrun, T Mitchell
Machine learning 39, 103-134, 2000
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
Automating the construction of internet portals with machine learning
AK McCallum, K Nigam, J Rennie, K Seymore
Information Retrieval 3, 127-163, 2000
Analyzing the effectiveness and applicability of co-training
K Nigam, R Ghani
Proceedings of the ninth international conference on Information and …, 2000
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
Employing EM and Pool-Based Active Learning for Text Classification.
A McCallum, K Nigam
ICML 98, 350-358, 1998
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
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
Using EM to classify text from labeled and unlabeled documents
K Nigam, A MacCallum, S Thrun
Carnegie-Mellon University. Department of Computer Science, 1998
Intrusive software management
N Provos, Y Zhou, CW Bavor, EL Davis, M Palatucci, KP Nigam, ...
US Patent App. 12/041,309, 2009
A machine learning approach to building domain-specific search engines
A McCallum, K Nigam, J Rennie, K Seymore
IJCAI 99, 662-667, 1999
Topical sentiments in electronically stored communications
KP Nigam, MF Hurst
US Patent 7,523,085, 2009
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
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
Using unlabeled data to improve text classification
KP Nigam
Carnegie Mellon University, 2001
Semi-supervised text classification using EM
K Nigam, A McCallum, T Mitchell
Text classification by bootstrapping with keywords, EM and shrinkage
A McCallum, K Nigam
Unsupervised learning in natural language processing, 1999
Bootstrapping for text learning tasks
R Jones, A McCallum, K Nigam, E Riloff
IJCAI-99 Workshop on Text Mining: Foundations, Techniques and Applications 1 (7), 1999
Towards a robust metric of opinion
K Nigam, M Hurst
AAAI spring symposium on exploring attitude and affect in text 598603, 2004
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