-
1
-
-
0001025146
-
Query learning strategies using boosting and bagging
-
N. Abe and H. Mamitsuka. Query learning strategies using boosting and bagging. In ICML, 1998.
-
(1998)
ICML
-
-
Abe, N.1
Mamitsuka, H.2
-
2
-
-
80555158386
-
Self-concordant analysis for logistic regression
-
F. Bach. Self-concordant analysis for logistic regression. Electronic Journal of Statistics, 4:384-414, 2010.
-
(2010)
Electronic Journal of Statistics
, vol.4
, pp. 384-414
-
-
Bach, F.1
-
3
-
-
33750595414
-
Query learning can work poorly when a human oracle is used
-
E.B. Baum and K. Lang. Query learning can work poorly when a human oracle is used. In IJCNN, 1992.
-
(1992)
IJCNN
-
-
Baum, E.B.1
Lang, K.2
-
6
-
-
80052688850
-
Unbiased online active learning in data streams
-
W. Chu, M. Zinkevich, L. Li, A. Thomas, and B. Tseng. Unbiased online active learning in data streams. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Chu, W.1
Zinkevich, M.2
Li, L.3
Thomas, A.4
Tseng, B.5
-
7
-
-
0028424239
-
Improving generalization with active learning
-
D. Cohn, L. Atlas, and R. Ladner. Improving generalization with active learning. Machine Learning, 15 (2), 1994.
-
(1994)
Machine Learning
, vol.15
, pp. 2
-
-
Cohn, D.1
Atlas, L.2
Ladner, R.3
-
8
-
-
56449123291
-
A general agnostic active learning algorithm
-
S. Dasgupta, D. Hsu, and C. Monteleoni. A general agnostic active learning algorithm. NIPS, 2007.
-
(2007)
NIPS
-
-
Dasgupta, S.1
Hsu, D.2
Monteleoni, C.3
-
11
-
-
84880855398
-
Optimistic active learning using mutual information
-
Y. Guo and R. Greiner. Optimistic active learning using mutual information. In IJCAI, 2007.
-
(2007)
IJCAI
-
-
Guo, Y.1
Greiner, R.2
-
12
-
-
33749263388
-
Batch mode active learning and its application to medical image classification
-
S.C.H. Hoi, R. Jin, J. Zhu, and M.R. Lyu. Batch mode active learning and its application to medical image classification. In ICML, 2006.
-
(2006)
ICML
-
-
Hoi, S.C.H.1
Jin, R.2
Zhu, J.3
Lyu, M.R.4
-
16
-
-
56449097137
-
-
J. Langford, L. Li, A. Strehl, D. Hsu, N. Karampatzi-akis, and M. Hoffman. Vowpal wabbit, 2011.
-
(2011)
Vowpal Wabbit
-
-
Langford, J.1
Li, L.2
Strehl, A.3
Hsu, D.4
Karampatzi-Akis, N.5
Hoffman, M.6
-
17
-
-
85013879626
-
A sequential algorithm for training text classifiers
-
D.D. Lewis and W.A. Gale. A sequential algorithm for training text classifiers. In SIGIR, 1994.
-
(1994)
SIGIR
-
-
Lewis, D.D.1
Gale, W.A.2
-
18
-
-
0000314722
-
Employing em and pool-based active learning for text classification
-
A.K. McCallum and K. Nigam. Employing EM and pool-based active learning for text classification. In ICML, 1998.
-
(1998)
ICML
-
-
McCallum, A.K.1
Nigam, K.2
-
20
-
-
80053375448
-
An analysis of active learning strategies for sequence labeling tasks
-
B. Settles and M. Craven. An analysis of active learning strategies for sequence labeling tasks. In EMNLP, 2008.
-
(2008)
EMNLP
-
-
Settles, B.1
Craven, M.2
-
21
-
-
68949137209
-
-
Computer Sciences Technical Report 1648 University of Wisconsin-Madison
-
Burr Settles. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2009.
-
(2009)
Active Learning Literature Survey
-
-
Settles, B.1
-
26
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
T. Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, 32(1), 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 1
-
-
Zhang, T.1
-
27
-
-
78149321430
-
The value of unlabeled data for classification problems
-
T. Zhang and F. Oles. The value of unlabeled data for classification problems. In ICML, 2000.
-
(2000)
ICML
-
-
Zhang, T.1
Oles, F.2
-
28
-
-
14344254639
-
Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
-
Xiaojin Zhu, John Lafferty, and Zoubin Ghahramani. Combining active learning and semi-supervised learning using gaussian fields and harmonic functions. In ICML, 2003.
-
(2003)
ICML
-
-
Zhu, X.1
Lafferty, J.2
Ghahramani, Z.3
|