Searching for:
Found 145 results
sorted by:
Pages: 1 2 3 ... 15
John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira : Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. ICML 2001
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom M. Mitchell : Text Classification from Labeled and Unlabeled Documents using EM. Machine Learning (ML) 39(2/3):103-134 (2000)
Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira : Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML 2000
Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng : Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998
Andrew McCallum, Kamal Nigam, Lyle H. Ungar : Efficient clustering of high-dimensional data sets with application to reference matching. KDD 2000
Andrew McCallum, Kamal Nigam : Employing EM and Pool-Based Active Learning for Text Classification. ICML 1998
L. Douglas Baker, Andrew McCallum : Distributional Clustering of Words for Text Classification. SIGIR 1998
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew McCallum, Tom M. Mitchell, ... Kamal Nigam, Seán Slattery   : Learning to construct knowledge bases from the World Wide Web. Artif. Intell. (AI) 118(1-2):69-113 (2000)
Nicholas Roy, Andrew McCallum : Toward Optimal Active Learning through Sampling Estimation of Error Reduction. ICML 2001
(search: 0.011 sec. - facets: 0.0 sec.) (?)
Pages: 1 2 3 ... 15

Refine by VENUE:

show:

Refine by YEAR:

show:
[No canvas support]