-
1
-
-
24044435942
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
Allwein, E., Schapire, R., & Singer, Y. (2000). Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 113-141.
-
(2000)
Journal of Machine Learning Research
, pp. 113-141
-
-
Allwein, E.1
Schapire, R.2
Singer, Y.3
-
2
-
-
0022890536
-
Maximum mutual information estimation of hidden Markov model parameters for speech recognition
-
1986
-
Bahl, L., Brown, P., de Souza, P., & (1986)., R. M. (1986). Maximum mutual information estimation of hidden Markov model parameters for speech recognition. ICASSP (pp. 49-52).
-
(1986)
ICASSP
, pp. 49-52
-
-
Bahl, L.1
Brown, P.2
De Souza, P.3
M., R.4
-
3
-
-
84965063004
-
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
-
Baum, L., & Eagon, J. (1967). An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology. Bulletin of the AMS, 73, 360-363.
-
(1967)
Bulletin of the AMS
, vol.73
, pp. 360-363
-
-
Baum, L.1
Eagon, J.2
-
4
-
-
0003802343
-
-
Wadsworth
-
Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and regression trees. Wadsworth.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
5
-
-
34249753618
-
Support-vector networks
-
Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20, 273-297.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
6
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society (B), 39, pp. 1-22.
-
(1977)
Journal of the Royal Statistical Society (B)
, vol.39
, pp. 1-22
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
8
-
-
0035789613
-
Proximal support vector classifiers
-
Fung, G., & Mangasarian, O. (2001). Proximal support vector classifiers. KDD (pp. 77-86).
-
(2001)
KDD
, pp. 77-86
-
-
Fung, G.1
Mangasarian, O.2
-
9
-
-
0025952278
-
An inequality for rational functions with applications to some statistical estimation problems
-
Gopalakrishnan, P., Kanevsky, D., Nádas, A., & Nahamoo, D. (1991). An inequality for rational functions with applications to some statistical estimation problems. IEEE Transactions on Information Theory, 37, 107-113.
-
(1991)
IEEE Transactions on Information Theory
, vol.37
, pp. 107-113
-
-
Gopalakrishnan, P.1
Kanevsky, D.2
Nádas, A.3
Nahamoo, D.4
-
12
-
-
2142830711
-
Maximum conditional likelihood via bound maximization and the cem algorithm
-
Jebara, T., & Pentland, A. (1998). Maximum conditional likelihood via bound maximization and the cem algorithm. Neural Information Processing Systems 11.
-
(1998)
Neural Information Processing Systems
, vol.11
-
-
Jebara, T.1
Pentland, A.2
-
13
-
-
0015000439
-
Some results on Tchebychean spline functions
-
Kimeldorf, G., & Wahba, G. (1971). Some results on Tchebychean spline functions. J. Math. Anal. Applic., 33, 82-95.
-
(1971)
J. Math. Anal. Applic.
, vol.33
, pp. 82-95
-
-
Kimeldorf, G.1
Wahba, G.2
-
18
-
-
0024076692
-
On a model-robust training method for speech recognition
-
Nádas, A., Nahamoo, D., & Picheny, M. (1988). On a model-robust training method for speech recognition. IEEE Trans. on ASSP, 36, 1432-6.
-
(1988)
IEEE Trans. on ASSP
, vol.36
, pp. 1432-1436
-
-
Nádas, A.1
Nahamoo, D.2
Picheny, M.3
-
19
-
-
59549087165
-
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
-
Ng, A., & Jordan, M. (2002). On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. NIPS.
-
(2002)
NIPS
-
-
Ng, A.1
Jordan, M.2
-
21
-
-
0028996990
-
Optimal splitting of HMM Gaussian mixture components with MMIE training
-
Normandin, Y. (1995). Optimal splitting of HMM Gaussian mixture components with MMIE training. ICASSP (pp. 449-52).
-
(1995)
ICASSP
, pp. 449-452
-
-
Normandin, Y.1
-
22
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
Rabiner, L. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77, 257-86.
-
(1989)
Proceedings of the IEEE
, vol.77
, pp. 257-286
-
-
Rabiner, L.1
-
27
-
-
0001224048
-
Sparse bayesian learning and the relevance vector machine
-
Tipping, M. (2001). Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1, 211-244.
-
(2001)
Journal of Machine Learning Research
, vol.1
, pp. 211-244
-
-
Tipping, M.1
-
29
-
-
0036461035
-
Large scale discriminative training of hidden Markov models for speech recognition
-
Woodland, P., & Povey, D. (2002). Large scale discriminative training of hidden Markov models for speech recognition. Computer Speech and Language, 16, 25-47.
-
(2002)
Computer Speech and Language
, vol.16
, pp. 25-47
-
-
Woodland, P.1
Povey, D.2
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