|
1548
|
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
– John Lafferty
- 2001
|
|
243
|
Query by Committee
– H. S. Seung, M. Opper, H. Sompolinsky
- 1992
|
|
183
|
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
– Nicholas Roy, Andrew Mccallum
- 2001
|
|
365
|
A Sequential Algorithm for Training Text Classifiers
– David D. Lewis, William A. Gale
- 1994
|
|
256
|
Selective sampling using the Query by Committee algorithm
– Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
- 1997
|
|
198
|
Employing EM in Pool-Based Active Learning for Text Classification
– Andrew Mccallum, Kamal Nigam
- 1998
|
|
334
|
Improving generalization with active learning
– David Cohn, Richard Ladner, Alex Waibel
- 1994
|
|
402
|
Active Learning with Statistical Models
– David A. Cohn, Zoubin Ghahramani, Michael I. Jordan
- 1995
|
|
338
|
Support Vector Machine Active Learning with Applications to Text Classification
– Simon Tong , Daphne Koller
- 2001
|
|
15
|
Multiple-instance active learning
– Burr Settles, Mark Craven, Soumya Ray
- 2008
|
|
41
|
Active learning literature survey," Computer Sciences
– B Settles
- 2009
|
|
194
|
Heterogeneous Uncertainty Sampling for Supervised Learning
– David D. Lewis, Jason Catlett
- 1994
|
|
17
|
Active Learning with Real Annotation Costs
– Burr Settles, Mark Craven, Lewis Friedl
|
|
21
|
Reducing labeling effort for structured prediction tasks
– Aron Culotta, Andrew Mccallum
- 2005
|
|
946
|
Combining labeled and unlabeled data with co-training
– Avrim Blum, Tom Mitchell
- 1998
|
|
16
|
Active learning and the total cost of annotation
– J Baldridge, M Osborne
- 2004
|
|
93
|
Active Learning for Natural Language Parsing and Information Extraction
– Cynthia A. Thompson, Mary Elaine Califf, Raymond J. Mooney
- 1999
|
|
77
|
Query learning strategies using boosting and bagging
– N Abe, H Mamitsuka
- 1998
|
|
93
|
Committee-Based Sampling For Training Probabilistic Classifiers
– Ido Dagan, Sean P. Engelson
- 1995
|