-
1
-
-
34250779439
-
A DC-programming algorithm for kernel selection
-
Argyriou, Andreas, Hauser, Raphael, Micchelli, Charles A., and Pontil, Massimiliano. A DC-programming algorithm for kernel selection. In ICML, pp. 41-48, 2006.
-
(2006)
ICML
, pp. 41-48
-
-
Argyriou, A.1
Hauser, R.2
Micchelli, C.A.3
Pontil, M.4
-
2
-
-
0037403111
-
Mirror descent and non linear projected subgradient methods for convex opti mization
-
Beck, Amir and Teboulle, Marc. Mirror descent and non linear projected subgradient methods for convex opti mization. Operations Research Letters, 31(3): 167-175, 2003.
-
(2003)
Operations Research Letters
, vol.31
, Issue.3
, pp. 167-175
-
-
Beck, A.1
Teboulle, M.2
-
3
-
-
84858716912
-
AUC optimization and the two-sample problem
-
Clémencon, Stéphan, Vayatis, Nicolas, and Depecker, Marine. AUC optimization and the two-sample problem. In NIPS, 2009.
-
(2009)
NIPS
-
-
Clémencon, S.1
Vayatis, N.2
Depecker, M.3
-
4
-
-
84897965802
-
AUC optimization vs. Error rate minimization
-
Cortes, Corinna and Mohri, Mehryar. AUC optimization vs. error rate minimization. In NIPS, 2004.
-
(2004)
NIPS
-
-
Cortes, C.1
Mohri, M.2
-
5
-
-
70449444642
-
Sample selection bias correction theory
-
Cortes, Corinna, Mohri, Mehryar, Riley, Michael, and Rostamizadeh, Afshin. Sample selection bias correction theory. In ALT, 2008.
-
(2008)
ALT
-
-
Cortes, C.1
Mohri, M.2
Riley, M.3
Rostamizadeh, A.4
-
6
-
-
84867577175
-
The foundations of cost-sensitive learning
-
Elkan, Charles. The foundations of cost-sensitive learning. IJCAI, 2001.
-
(2001)
IJCAI
-
-
Charles, E.1
-
7
-
-
70450141068
-
-
Technical report Max Planck Institute for Biological Cybernetics
-
Gehler, Peter Vincent and Nowozin, Sebastian. Infinite ker nel learning. Technical report, Max Planck Institute for Biological Cybernetics, 2008.
-
(2008)
Infinite Kernel Learning
-
-
Gehler, P.V.1
Nowozin, S.2
-
8
-
-
70349847999
-
-
MIT Press, Cambridge, MA, USA, 2
-
Gretton, Arthur, Smola, Alexander J., Huang, Jiayuan, Schmittfull, Marcel, Borgwardt, Karsten M., and Scholkopf, Bernhard. Covariate shift and local learning by distribution matching, pp. 131-160. MIT Press, Cambridge, MA, USA, 2 2009.
-
(2009)
Covariate Shift and Local Learning by Distribution Matching
, pp. 131-160
-
-
Gretton, A.1
Smola, A.J.2
Huang, J.3
Schmittfull, M.4
Borgwardt, K.M.5
Scholkopf, B.6
-
9
-
-
84859477054
-
A kernel two-sample test
-
Gretton, Arthur, Borgwardt, Karsten M., Rasch, Malte J., Scholkopf, Bernhard, and Smola, Alexander J. A kernel two-sample test. Journal of Machine Learning Research, 13:723-773, 2012a.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 723-773
-
-
Gretton, A.1
Borgwardt, K.M.2
Rasch, M.J.3
Scholkopf, B.4
Smola, A.J.5
-
10
-
-
84877753617
-
Optimal kernel choice for large-scale two-sample tests
-
Gretton, Arthur, Sriperumbudur, Bharath K., Sejdinovic, Dino, Strathmann, Heiko, Balakrishnan, Sivaraman, Pontil, Massimiliano, and Fukumizu, Kenji. Optimal kernel choice for large-scale two-sample tests. In NIPS, 2012b.
-
(2012)
NIPS
-
-
Gretton, A.1
Sriperumbudur, B.K.2
Sejdinovic, D.3
Strathmann, H.4
Balakrishnan, S.5
Pontil, M.6
Fukumizu, K.7
-
11
-
-
1942515510
-
Learning the kernel matrix with semi-definite programming
-
Lanckriet, Gert, Cristianini, Nello, Bartlett, Peter, and Ghaoui, Laurent El. Learning the kernel matrix with semi-definite programming. JMLR, 2002.
-
(2002)
JMLR
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
El Ghaoui, L.4
-
12
-
-
0036161029
-
Support vector machines for classification in nonstandard situations
-
Lin, Yi, Lee, Yoonkyung, and Wahba, Grace. Support vec tor machines for classification in nonstandard situations. Machine Learning Journal, 2002.
-
(2002)
Machine Learning Journal
-
-
Yi, L.1
Yoonkyung, L.2
Grace, W.3
-
13
-
-
84867122342
-
Semi-supervised learning of class balance under class-prior change by distribution matching
-
Plessis, Marthinus D. and Sugiyama, Masashi. Semi-supervised learning of class balance under class-prior change by distribution matching. In ICML, 2012.
-
(2012)
ICML
-
-
Plessis Marthinus, D.1
Masashi, S.2
-
14
-
-
0036134369
-
Adjusting the outputs of a classifier to new a priori probabilities: A simple procedure
-
Saerens, Marco, Latinne, Patrice, and Decaestecker, Christine. Adjusting the outputs of a classifier to new a priori probabilities: a simple procedure. Neural Computation, 2002.
-
(2002)
Neural Computation
-
-
Saerens, M.1
Latinne, P.2
Decaestecker, C.3
-
15
-
-
83055181685
-
Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset
-
Selvaraj, Sathiya Keerthi, Bhar, Bigyan, Sellamanickam, Sundararajan, and Shevade, Shirish. Semi-supervised SVMs for classification with unknown class proportions and a small labeled dataset. In CIKM, 2011.
-
(2011)
CIKM
-
-
Selvaraj, S.K.1
Bhar, B.2
Sellamanickam, S.3
Shevade, S.4
-
16
-
-
77951951390
-
Kernel choice and classifiability for RKHS embeddings of probability distributions
-
Sriperumbudur, Bharath K., Fukumizu, Kenji, Gretton, Arthur, Lanckriet, Gert R. G., and Scholkopf, Bernhard. Kernel choice and classifiability for RKHS embeddings of probability distributions. In NIPS, pp. 1750-1758, 2009.
-
(2009)
NIPS
, pp. 1750-1758
-
-
Sriperumbudur, B.K.1
Fukumizu, K.2
Gretton, A.3
Lanckriet, G.R.G.4
Bernhard, S.5
-
18
-
-
24944537843
-
Large margin methods for structured and interdependent output variables
-
Tsochantaridis, I., Joachims, T., Hofmann, T., and Altun, Y. Large margin methods for structured and interdependent output variables. JMLR, 6:1453-1484, 2005.
-
(2005)
JMLR
, vol.6
, pp. 1453-1484
-
-
Tsochantaridis, I.1
Joachims, T.2
Hofmann, T.3
Altun, Y.4
-
19
-
-
85162002155
-
Multiple kernel learning and the SMO algorithm
-
December
-
Vishwanathan, S. V. N., Sun, Zhaonan, Theera-Ampornpunt, Nawanol, and Varma, Manik. Multiple kernel learning and the SMO algorithm. In Advances in Neural Information Processing Systems, December 2010.
-
(2010)
Advances in Neural Information Processing Systems
-
-
Vishwanathan, S.V.N.1
Zhaonan, S.2
Nawanol, T.3
Manik, V.4
-
20
-
-
0001589524
-
A comparison of minimum distance and maximum likelihood estimation of a mixture proportion
-
Woodward, Wayne A., Parr, William C, Schucany, William R., and Lindsey, Hildegard. A comparison of minimum distance and maximum likelihood estimation of a mixture proportion. Journal of the American Statis tical Association, 79(387):590-598, 1984.
-
(1984)
Journal of the American Statis Tical Association
, vol.79
, Issue.387
, pp. 590-598
-
-
Woodward Wayne, A.1
Parr William, C.2
Schucany William, R.3
Hildegard, L.4
-
21
-
-
84867129026
-
Analysis of kernel mean matching under covariate shift
-
Yu, Yaoliang and Szepesvari, Csaba. Analysis of kernel mean matching under covariate shift. In ICML, 2012.
-
(2012)
ICML
-
-
Yaoliang, Y.1
Csaba, S.2
-
22
-
-
0037686659
-
The concave-convex procedure
-
Yuille, A. L. and Rangarajan, Anand. The concave-convex procedure. Neural Computation, 15(4):915936, 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.4
, pp. 915936
-
-
Yuille, A.L.1
Anand, R.2
-
23
-
-
84897514005
-
Domain adaptation under target and conditional shift
-
Zhang, Kun, Scholkopf, Bernhard, Muandet, Krikamol, and Wang, Zhikun. Domain adaptation under target and conditional shift. In ICML, 2013.
-
(2013)
ICML
-
-
Kun, Z.1
Bernhard, S.2
Krikamol, M.3
Zhikun, W.4
|