-
1
-
-
0000710299
-
Queries and concept learning
-
D. Angluin. Queries and concept learning. Machine Learning, 2(4):319-342, 1988.
-
(1988)
Machine Learning
, vol.2
, Issue.4
, pp. 319-342
-
-
Angluin, D.1
-
4
-
-
84972545864
-
An analog of the minimax theorem for vector payoffs
-
D. Blackwell. An analog of the minimax theorem for vector payoffs. Pacific J. Math., 6:1-8, 1956.
-
(1956)
Pacific J. Math
, vol.6
, pp. 1-8
-
-
Blackwell, D.1
-
5
-
-
0007563290
-
Learning boolean functions in an infinite attribute space
-
A. Blum. Learning boolean functions in an infinite attribute space. Machine Learning, 9:373-386, 1992.
-
(1992)
Machine Learning
, vol.9
, pp. 373-386
-
-
Blum, A.1
-
6
-
-
0028517062
-
Separating distribution-free and mistake-bound learning models over the boolean domain
-
October
-
A. Blum. Separating distribution-free and mistake-bound learning models over the boolean domain. SIAM J. Computing, 23(5):990-1000, October 1994.
-
(1994)
SIAM J. Computing
, vol.23
, Issue.5
, pp. 990-1000
-
-
Blum, A.1
-
7
-
-
85152618419
-
Empirical support for winnow and weighted-majority based algorithms: Results on a calendar scheduling domain
-
July
-
A. Blum. Empirical support for winnow and weighted-majority based algorithms: results on a calendar scheduling domain. In Proceedings of the Twelfth International Conference on Machine Learning, pages 64-72, July 1995.
-
(1995)
Proceedings of the Twelfth International Conference on Machine Learning
, pp. 64-72
-
-
Blum, A.1
-
9
-
-
0029254047
-
Learning in the presence of finitely or infinitely many irrelevant attributes
-
A. Blum, L. Hellerstein, and N. Littlestone. Learning in the presence of finitely or infinitely many irrelevant attributes. J. Comp. Syst. Sci., 50(1):32-40, 1995.
-
(1995)
J. Comp. Syst. Sci
, vol.50
, Issue.1
, pp. 32-40
-
-
Blum, A.1
Hellerstein, L.2
Littlestone, N.3
-
11
-
-
0042306012
-
On-line prediction and conversion strategies
-
volume New Series Number 53 of The Institute of Mathematics and its Applications Conference Series, Oxford, Oxford University Press
-
N. Cesa-Bianchi, Y. Freund, D. P. Helmbold, and M. Warmuth. On-line prediction and conversion strategies. In Computational Learning Theory: Eurocolt '93, volume New Series Number 53 of The Institute of Mathematics and its Applications Conference Series, pages 205-216, Oxford, 1994. Oxford University Press.
-
(1994)
Computational Learning Theory: Eurocolt '93
, pp. 205-216
-
-
Cesa-Bianchi, N.1
Freund, Y.2
Helmbold, D.P.3
Warmuth, M.4
-
12
-
-
0027274446
-
How to use expert advice
-
N. Cesa-Bianchi, Y. Freund, D.P. Helmbold, D. Haussler, R.E. Schapire, and M.K. Warmuth. How to use expert advice. In Annual ACM Symposium on Theory of Computing, pages 382-391, 1993.
-
(1993)
Annual ACM Symposium on Theory of Computing
, pp. 382-391
-
-
Cesa-Bianchi, N.1
Freund, Y.2
Helmbold, D.P.3
Haussler, D.4
Schapire, R.E.5
Warmuth, M.K.6
-
13
-
-
84986753988
-
Universal portfolios
-
January
-
T.M. Cover. Universal portfolios. Mathematical Finance, 1(1):1-29, January 1991.
-
(1991)
Mathematical Finance
, vol.1
, Issue.1
, pp. 1-29
-
-
Cover, T.M.1
-
17
-
-
0002095886
-
A randomization rule for selecting forecasts
-
D.P. Foster and R.V. Vohra. A randomization rule for selecting forecasts. Operations Research, 41:704-709, 1993.
-
(1993)
Operations Research
, vol.41
, pp. 704-709
-
-
Foster, D.P.1
Vohra, R.V.2
-
20
-
-
0025446773
-
Learning nested differences of intersection closed concept classes
-
D. Helmbold, R. Sloan, and M. K. Warmuth. Learning nested differences of intersection closed concept classes. Machine Learning, 5(2):165-196, 1990.
-
(1990)
Machine Learning
, vol.5
, Issue.2
, pp. 165-196
-
-
Helmbold, D.1
Sloan, R.2
Warmuth, M.K.3
-
22
-
-
0023545078
-
On the learnability of boolean formulae
-
New York, New York, May
-
M. Kearns, M. Li, L. Pitt, and L. Valiant. On the learnability of boolean formulae. In Proceedings of the Nineteenth Annual ACM Symposium on the Theory of Computing, pages 285-295, New York, New York, May 1987.
-
(1987)
Proceedings of the Nineteenth Annual ACM Symposium on the Theory of Computing
, pp. 285-295
-
-
Kearns, M.1
Li, M.2
Pitt, L.3
Valiant, L.4
-
23
-
-
0001553979
-
Toward efficient agnostic learning
-
M. Kearns, R. Schapire, and L. Sellie. Toward efficient agnostic learning. Machine Learning, 17(2/3):115-142, 1994.
-
(1994)
Machine Learning
, vol.17
, Issue.2-3
, pp. 115-142
-
-
Kearns, M.1
Schapire, R.2
Sellie, L.3
-
24
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
-
N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318, 1988.
-
(1988)
Machine Learning
, vol.2
, pp. 285-318
-
-
Littlestone, N.1
-
25
-
-
84959027400
-
-
personal communication (a mistake-bound version of Rivest’s decision-list algorithm)
-
N. Littlestone. personal communication (a mistake-bound version of Rivest’s decision-list algorithm), 1989.
-
(1989)
-
-
Littlestone, N.1
-
26
-
-
0000511449
-
Redundant noisy attributes, attribute errors, and linear-threshold learning using winnow
-
Santa Cruz, California, Morgan Kaufmann
-
N. Littlestone. Redundant noisy attributes, attribute errors, and linear-threshold learning using winnow. In Proceedings of the Fourth Annual Workshop on Computational Learning Theory, pages 147-156, Santa Cruz, California, 1991. Morgan Kaufmann.
-
(1991)
Proceedings of the Fourth Annual Workshop on Computational Learning Theory
, pp. 147-156
-
-
Littlestone, N.1
-
27
-
-
33747487909
-
On-line learning of linear functions
-
ACM Press, New York, NY, See also UCSC-CRL-91-29
-
N. Littlestone, P. M. Long, and M. K. Warmuth. On-line learning of linear functions. In Proc. of the 23rd Symposium on Theory of Computing, pages 465-475. ACM Press, New York, NY, 1991. See also UCSC-CRL-91-29.
-
(1991)
Proc. of the 23rd Symposium on Theory of Computing
, pp. 465-475
-
-
Littlestone, N.1
Long, P.M.2
Warmuth, M.K.3
-
29
-
-
0026978928
-
Universal sequential learning and decisions from individual data sequences
-
ACM Press, New York, NY
-
N. Merhav and M. Feder. Universal sequential learning and decisions from individual data sequences. In Proc. 5th Annual Workshop on Comput. Learning Theory, pages 413-427. ACM Press, New York, NY, 1992.
-
(1992)
Proc. 5th Annual Workshop on Comput. Learning Theory
, pp. 413-427
-
-
Merhav, N.1
Feder, M.2
-
30
-
-
0030387151
-
On-line portfollo selection
-
A journal version is to be submitted to Mathematics of Operations Research
-
E. Ordentlich and T.M. Cover. On-line portfollo selection. In COLT 96, pages 310-313, 1996. A journal version is to be submitted to Mathematics of Operations Research.
-
(1996)
COLT 96
, pp. 310-313
-
-
Ordentlich, E.1
Cover, T.M.2
-
31
-
-
1442267080
-
Learning decision lists
-
R.L. Rivest. Learning decision lists. Machine Learning, 2(3):229-246, 1987.
-
(1987)
Machine Learning
, vol.2
, Issue.3
, pp. 229-246
-
-
Rivest, R.L.1
-
32
-
-
0011026447
-
Asymptotically subminimax solutions of compound statistical decision problems
-
H. Robbins. Asymptotically subminimax solutions of compound statistical decision problems. In Proc. 2nd Berkeley Symp. Math. Statist. Prob., pages 131-148, 1951.
-
(1951)
Proc. 2nd Berkeley Symp. Math. Statist. Prob
, pp. 131-148
-
-
Robbins, H.1
-
33
-
-
0023380770
-
Universal sequential coding of single measures
-
J. Shtarkov. Universal sequential coding of single measures. Problems of Information Transmission, pages 175-185, 1987.
-
(1987)
Problems of Information Transmission
, pp. 175-185
-
-
Shtarkov, J.1
-
34
-
-
0021518106
-
A theory of the learnable
-
November
-
L.G. Valiant. A theory of the learnable. Comm. ACM, 27(11):1134-1142, November 1984.
-
(1984)
Comm. ACM
, vol.27
, Issue.11
, pp. 1134-1142
-
-
Valiant, L.G.1
|