-
2
-
-
0028461417
-
Automated learning of decision rules for text categorization
-
C. Apte, F. Damerau, and S. M. Weiss. Automated learning of decision rules for text categorization. Information Systems, 12(3):233-251, 1994.
-
(1994)
Information Systems
, vol.12
, Issue.3
, pp. 233-251
-
-
Apte, C.1
Damerau, F.2
Weiss, S. M.3
-
3
-
-
0001868131
-
Reducing multiclass to binary: A unifying approach for margin classifiers
-
Morgan Kaufmann, San Francisco, CA
-
E. Allwein, R.E. Schapire, and Y. Singer. Reducing multiclass to binary: A unifying approach for margin classifiers. In Proc. 17th International Conf. on Machine Learning, pages 9-16. Morgan Kaufmann, San Francisco, CA, 2000.
-
(2000)
Proc. 17th International Conf. on Machine Learning
, pp. 9-16
-
-
Allwein, E.1
Schapire, R.E.2
Singer, Y.3
-
4
-
-
0029252255
-
Characterizations of learnability for classes of 0,..., n - valued functions
-
S. Ben-David, N. Cesa-Bianchi, D. Haussler, and P. Long. Characterizations of learnability for classes of 0,..., n - valued functions. J. Comput. Sys. Sci., 50(1):74-86, 1995.
-
(1995)
J. Comput. Sys. Sci
, vol.50
, Issue.1
, pp. 74-86
-
-
Ben-David, S.1
Cesa-Bianchi, N.2
Haussler, D.3
Long, P.4
-
6
-
-
0028576341
-
Some advances in transformation-based part of speech tagging
-
E. Brill. Some advances in transformation-based part of speech tagging. In AAAI, Vol. 1, pages 722-727, 1994.
-
(1994)
AAAI
, vol.1
, pp. 722-727
-
-
Brill, E.1
-
7
-
-
0004168213
-
-
Technical Report UIUCDCS-R-99-2101, UIUC Computer Science Department, May
-
A. Carlson, C. Cumby, J. Rosen, and D. Roth. The SNoW learning architecture. Technical Report UIUCDCS-R-99-2101, UIUC Computer Science Department, May 1999.
-
(1999)
The SNoW learning architecture
-
-
Carlson, A.1
Cumby, C.2
Rosen, J.3
Roth, D.4
-
8
-
-
0010099436
-
On the learnability and design of output codes for multiclass problems
-
K. Crammer and Y. Singer. On the learnability and design of output codes for multiclass problems. In Computational Learing Theory, pages 35-46, 2000.
-
(2000)
Computational Learing Theory
, pp. 35-46
-
-
Crammer, K.1
Singer, Y.2
-
9
-
-
84943277694
-
Ultraconservative online algorithms for multiclass problems
-
K. Crammer and Y. Singer. Ultraconservative online algorithms for multiclass problems. In COLT/EuroCOLT, pages 99-115, 2001.
-
(2001)
COLT/EuroCOLT
, pp. 99-115
-
-
Crammer, K.1
Singer, Y.2
-
10
-
-
0000406788
-
Solving multiclass learning problems via error-correcting output codes
-
T. Dietterich and G. Bakiri. Solving multiclass learning problems via error-correcting output codes. Journal of Artificial Intelligence Research, 2:263-286, 1995.
-
(1995)
Journal of Artificial Intelligence Research
, vol.2
, pp. 263-286
-
-
Dietterich, T.1
Bakiri, G.2
-
12
-
-
78049288875
-
Mistake-driven learning in text categorization
-
I. Dagan, Y. Karov, and D. Roth. Mistake-driven learning in text categorization. In EMNLP-97, The Second Conference on Empirical Methods in Natural Language Processing, pages 55-63, 1997.
-
(1997)
EMNLP-97, The Second Conference on Empirical Methods in Natural Language Processing
, pp. 55-63
-
-
Dagan, I.1
Karov, Y.2
Roth, D.3
-
17
-
-
0000359337
-
Backpropagation applied to handwritten zip code recognition
-
Y. Le Cun, B. Boser, J. Denker, D. Hendersen, R. Howard, W. Hubbard, and L. Jackel. Backpropagation applied to handwritten zip code recognition. Neural Computation, 1:pp 541, 1989.
-
(1989)
Neural Computation
, vol.1
, pp. 541
-
-
Le Cun, Y.1
Boser, B.2
Denker, J.3
Hendersen, D.4
Howard, R.5
Hubbard, W.6
Jackel, L.7
-
18
-
-
84899021859
-
Unsupervised learning by convex and conic coding
-
Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors, page The MIT Press
-
D. Lee and H. Seung. Unsupervised learning by convex and conic coding. In Michael C. Mozer, Michael I. Jordan, and Thomas Petsche, editors, Advances in Neural Information Processing Systems, volume 9, page 515. The MIT Press, 1997.
-
(1997)
Advances in Neural Information Processing Systems
, vol.9
, pp. 515
-
-
Lee, D.1
Seung, H.2
-
19
-
-
0034321873
-
On the computational power of winner-take-all
-
W. Maass. On the computational power of winner-take-all. Neural Computation, 12(11):2519-2536, 2000.
-
(2000)
Neural Computation
, vol.12
, Issue.11
, pp. 2519-2536
-
-
Maass, W.1
-
21
-
-
0031632815
-
Learning to resolve natural language ambiguities: A unified approach
-
D. Roth. Learning to resolve natural language ambiguities: A unified approach. In Proc. of AAAI, pages 806-813, 1998.
-
(1998)
Proc. of AAAI
, pp. 806-813
-
-
Roth, D.1
-
22
-
-
84942766095
-
-
Wiley, 605 Third Avenue, New York, New York, 0012
-
V. Vapnik. Statistical Learning Theory. Wiley, 605 Third Avenue, New York, New York, 10158-0012, 1998.
-
(1998)
Statistical Learning Theory
, pp. 10158
-
-
Vapnik, V.1
|