-
1
-
-
36948999941
-
-
Available at
-
A. Asuncion and D. J. Newman. UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences, 2007. Available at http://archive.ics.uci.edu/ml/datasets.html.
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.J.2
-
3
-
-
1942517333
-
Incorporating diversity in active learning with support vector machines
-
K. Brinker. Incorporating diversity in active learning with support vector machines. In ICML, 2003.
-
(2003)
ICML
-
-
Brinker, K.1
-
7
-
-
84898947320
-
Analysis of a greedy active learning strategy
-
MIT Press
-
S. Dasgupta. Analysis of a greedy active learning strategy. In NIPS . MIT Press, 2005.
-
(2005)
NIPS
-
-
Dasgupta, S.1
-
8
-
-
33745155436
-
A bayesian hierarchical model for learning natural scene categories
-
L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. In CVPR, 2005.
-
(2005)
CVPR
-
-
Fei-Fei, L.1
Perona, P.2
-
10
-
-
56449094315
-
A bound on the label complexity of agnostic active learning
-
S. Hanneke. A bound on the label complexity of agnostic active learning. In ICML, 2007.
-
(2007)
ICML
-
-
Hanneke, S.1
-
11
-
-
0032355984
-
Classification by pairwise coupling
-
T. Hastie and R. Tibshirani. Classification by pairwise coupling. Annals of Statistics, 26(2):451-471, 1998.
-
(1998)
Annals of Statistics
, vol.26
, Issue.2
, pp. 451-471
-
-
Hastie, T.1
Tibshirani, 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
-
14
-
-
70450192673
-
Active learning for large multi-class problems
-
P. Jain and A. Kapoor. Active learning for large multi-class problems. In CVPR, 2009.
-
(2009)
CVPR
-
-
Jain, P.1
Kapoor, A.2
-
16
-
-
50649102302
-
Active learning with Gaussian Processes for object categorization
-
A. Kapoor, K. Grauman, R. Urtasun, and T. Darrell. Active learning with Gaussian Processes for object categorization. In ICCV, 2007.
-
(2007)
ICCV
-
-
Kapoor, A.1
Grauman, K.2
Urtasun, R.3
Darrell, T.4
-
17
-
-
78651463011
-
Selective supervision: Guiding supervised learning with decision-theoretic active learning
-
A. Kapoor, E. Horvitz, and S. Basu. Selective supervision: Guiding supervised learning with decision-theoretic active learning. In IJCAI, 2007.
-
(2007)
IJCAI
-
-
Kapoor, A.1
Horvitz, E.2
Basu, S.3
-
18
-
-
67650691734
-
Near-optimal nonmyopic value of information in graphical models
-
A. Krause and C. Guestrin. Near-optimal nonmyopic value of information in graphical models. In UAI, 2005.
-
(2005)
UAI
-
-
Krause, A.1
Guestrin, C.2
-
19
-
-
77955813621
-
-
Technical Report CMU-ML-08-100, Carnegie Mellon University
-
A. Krause, H. B. McMahan, C. Guestrin, and A. Gupta. Robust submodular observation selection. Technical Report CMU-ML-08-100, Carnegie Mellon University, 2008.
-
(2008)
Robust Submodular Observation Selection
-
-
Krause, A.1
McMahan, H.B.2
Guestrin, C.3
Gupta, A.4
-
20
-
-
34548160247
-
A note on Platt's probabilistic outputs for support vector machines
-
H.-T. Lin, C.-J. Lin, and R. C. Weng. A note on Platt's probabilistic outputs for support vector machines. Machine Learning, 68:267-276, 2007.
-
(2007)
Machine Learning
, vol.68
, pp. 267-276
-
-
Lin, H.-T.1
Lin, C.-J.2
Weng, R.C.3
-
21
-
-
0000095809
-
An analysis of the approximations for maximizing submodular set functions
-
G. Nemhauser, L. Wolsey, and M. Fisher. An analysis of the approximations for maximizing submodular set functions. Mathematical Programming, 14:265-294, 1978.
-
(1978)
Mathematical Programming
, vol.14
, pp. 265-294
-
-
Nemhauser, G.1
Wolsey, L.2
Fisher, M.3
-
22
-
-
0035328421
-
Modeling the shape of the scene: A holistic representation of the spatial envelope
-
A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. IJCV, 42(3):145-175, 2001.
-
(2001)
IJCV
, vol.42
, Issue.3
, pp. 145-175
-
-
Oliva, A.1
Torralba, A.2
-
23
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
-
MIT Press
-
J. Platt. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In Advances in Large Margin Classifiers. MIT Press, 2000.
-
(2000)
Advances in Large Margin Classifiers
-
-
Platt, J.1
-
24
-
-
51949086514
-
Two-dimensional active learning for image classification
-
G.-J. Qi, X.-S. Hua, Y. Rui, J. Tang, and H.-J. Zhang. Two-dimensional active learning for image classification. In CVPR, 2008.
-
(2008)
CVPR
-
-
Qi, G.-J.1
Hua, X.-S.2
Rui, Y.3
Tang, J.4
Zhang, H.-J.5
-
25
-
-
0042868698
-
Support vector machine active learning with applications to text classification
-
S. Tong and D. Koller. Support vector machine active learning with applications to text classification. JMLR, 2:45-66, 2001.
-
(2001)
JMLR
, vol.2
, pp. 45-66
-
-
Tong, S.1
Koller, D.2
-
26
-
-
85058225616
-
Multi-level active prediction of useful image annotations for recognition
-
MIT Press
-
S. Vijayanarasimhan and K. Grauman. Multi-level active prediction of useful image annotations for recognition. In NIPS . MIT Press, 2008.
-
(2008)
NIPS
-
-
Vijayanarasimhan, S.1
Grauman, K.2
-
27
-
-
51349159085
-
Probability estimates for multiclass classification by pairwise coupling
-
T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multiclass classification by pairwise coupling. JMLR, 5:975-1005, 2004.
-
(2004)
JMLR
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
|