-
2
-
-
73549088698
-
1-regularized log-linear models
-
1-regularized log-linear models. ICML.
-
(2007)
ICML
-
-
Andrew, G.1
Gao, J.2
-
3
-
-
31844436350
-
Exponentiated gradient algorithms for larg-margin structured classification
-
Bartlett, P., Collins, M., Taskar, B., & McAllester, D. (2004). Exponentiated gradient algorithms for larg-margin structured classification. NIPS.
-
(2004)
NIPS
-
-
Bartlett, P.1
Collins, M.2
Taskar, B.3
McAllester, D.4
-
4
-
-
0026860799
-
Robust linear programming discrimination of two linearly inseparable sets
-
Bennett, K. P., & Mangasarian, O. L. (1992). Robust linear programming discrimination of two linearly inseparable sets. Optim. Methods Softw, 23-34.
-
(1992)
Optim. Methods Softw
, pp. 23-34
-
-
Bennett, K.P.1
Mangasarian, O.L.2
-
6
-
-
34250663051
-
Maximum entropy density estimation with generalized regularization and an application to species distribution modeling
-
Dudik, M., Phillips, S. J., & Schaphe, R. E. (2007). Maximum entropy density estimation with generalized regularization and an application to species distribution modeling. JMLR, 1217-1260.
-
(2007)
JMLR
, pp. 1217-1260
-
-
Dudik, M.1
Phillips, S.J.2
Schaphe, R.E.3
-
7
-
-
0141836275
-
Adaptive sparseness for supervised learning
-
Figueiredo, M. (2003). Adaptive sparseness for supervised learning. IEEE Trans, on PAMI, 25, 1150-1159.
-
(2003)
IEEE Trans, on PAMI
, vol.25
, pp. 1150-1159
-
-
Figueiredo, M.1
-
8
-
-
56449115359
-
Exponentiated gradient algorithms for log-linear structured prediction
-
Globerson, A., Koo, T. Y., Carreras, X., & Collins, M. (2007). Exponentiated gradient algorithms for log-linear structured prediction. ICML.
-
(2007)
ICML
-
-
Globerson, A.1
Koo, T.Y.2
Carreras, X.3
Collins, M.4
-
10
-
-
34248137881
-
On bayesian classification with laplace priors
-
Kaban, A. (2007). On bayesian classification with laplace priors. Pattern Recognition Letters, 28, 1271-1282.
-
(2007)
Pattern Recognition Letters
, vol.28
, pp. 1271-1282
-
-
Kaban, A.1
-
11
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
Lafferty, J., McCallum, A., & Pereira, F. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. ICML.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
12
-
-
3142669511
-
An improved predictive accuracy bound for averaging classifiers
-
Langford, J., Seeger, M., & Megiddo, N. (2001). An improved predictive accuracy bound for averaging classifiers. ICML.
-
(2001)
ICML
-
-
Langford, J.1
Seeger, M.2
Megiddo, N.3
-
13
-
-
1542337831
-
Boosting and maximum likelihood for exponential models
-
Lebanon, G., & Lafferty, J. (2001). Boosting and maximum likelihood for exponential models. NIPS.
-
(2001)
NIPS
-
-
Lebanon, G.1
Lafferty, J.2
-
14
-
-
85142829716
-
Efficient structure learning of markov networks using 11-regularization
-
Lee, S.-I., Ganapathi, V., & Koller, D. (2006). Efficient structure learning of markov networks using 11-regularization. NIPS.
-
(2006)
NIPS
-
-
Lee, S.-I.1
Ganapathi, V.2
Koller, D.3
-
19
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Royal. Statist. Soc., B, 267-288.
-
(1996)
J. Royal. Statist. Soc., B
, pp. 267-288
-
-
Tibshirani, R.1
-
20
-
-
14344250451
-
Support vector machine learning for interdependent and structured output spaces
-
Tsochantaridis, I., Hofmann, T., Joachims, T., & Altun, Y. (2004). Support vector machine learning for interdependent and structured output spaces. ICML.
-
(2004)
ICML
-
-
Tsochantaridis, I.1
Hofmann, T.2
Joachims, T.3
Altun, Y.4
-
21
-
-
85146130171
-
High-dimensional graphical model selection using l1-regularized logistic regression
-
Wainwright, M. J., Ravikumar, P., & Lafferty, J. (2006). High-dimensional graphical model selection using l1-regularized logistic regression. NIPS.
-
(2006)
NIPS
-
-
Wainwright, M.J.1
Ravikumar, P.2
Lafferty, J.3
|