-
1
-
-
0032047249
-
Specification and simulation of statistical query algorithms for efficiency and noise tolerance
-
J. Aslam and S. Decatur. Specification and simulation of statistical query algorithms for efficiency and noise tolerance. Journal of Computer and System Sciences, 56:191-208, 1998.
-
(1998)
Journal of Computer and System Sciences
, vol.56
, pp. 191-208
-
-
Aslam, J.1
Decatur, S.2
-
2
-
-
0001926474
-
A polynomial time algorithm for learning noisy linear threshold functions
-
A. Blum, A. Frieze, R. Kannan, and S. Vempala. A polynomial time algorithm for learning noisy linear threshold functions. Algorithmica, 22(1/2):35-52, 1997.
-
(1997)
Algorithmica
, vol.22
, Issue.1-2
, pp. 35-52
-
-
Blum, A.1
Frieze, A.2
Kannan, R.3
Vempala, S.4
-
3
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
T.G. Dietterich. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization. Machine Learning, 40(2):139-158, 2000.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-158
-
-
Dietterich, T.G.1
-
4
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28:337-374, 2000.
-
(2000)
The Annals of Statistics
, vol.28
, pp. 337-374
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
5
-
-
58149321460
-
Boosting a weak learning alogrithm by majority
-
Y. Freund. Boosting a weak learning alogrithm by majority. Information and Computation, 121(2),256-285, 1995.
-
(1995)
Information and Computation
, vol.121
, Issue.2
, pp. 256-285
-
-
Freund, Y.1
-
6
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
7
-
-
0022793132
-
How to construct random functions
-
O. Goldreich, S. Goldwasser, and S. Micali. How to construct random functions. Journal of the Association for Computing Machinery, 33(4):792-807, 1986.
-
(1986)
Journal of the Association for Computing Machinery
, vol.33
, Issue.4
, pp. 792-807
-
-
Goldreich, O.1
Goldwasser, S.2
Micali, S.3
-
8
-
-
0345253860
-
A pseudorandom generator from any one-way function
-
J. Hastad, R. Impagliazzo, L. Levin, and M. Luby. A pseudorandom generator from any one-way function. SIAM J. Comput., 28(4):1364-1396, 1999.
-
(1999)
SIAM J. Comput.
, vol.28
, Issue.4
, pp. 1364-1396
-
-
Hastad, J.1
Impagliazzo, R.2
Levin, L.3
Luby, M.4
-
10
-
-
0032202014
-
Efficient noise-tolerant learning from statistical queries
-
M. Kearns. Efficient noise-tolerant learning from statistical queries. Journal of the ACM, 45(6):983-1006, 1998.
-
(1998)
Journal of the ACM
, vol.45
, Issue.6
, pp. 983-1006
-
-
Kearns, M.1
-
11
-
-
0033075132
-
On the boosting ability of top-down decision tree learning algorithms
-
M. Kearns and Y. Mansour. On the boosting ability of top-down decision tree learning algorithms. Journal of Computer and System Sciences, 58(1):109-128, 1999.
-
(1999)
Journal of Computer and System Sciences
, vol.58
, Issue.1
, pp. 109-128
-
-
Kearns, M.1
Mansour, Y.2
-
12
-
-
0028324717
-
Cryptographic limitations on learning boolean formulae and finite automata
-
M. Kearns and L. Valiant. Cryptographic limitations on learning boolean formulae and finite automata. Journal of the ACM, 41(1):67-95, 1994.
-
(1994)
Journal of the ACM
, vol.41
, Issue.1
, pp. 67-95
-
-
Kearns, M.1
Valiant, L.2
-
15
-
-
0025448521
-
The strength of weak learnability
-
R. Schapire. The strength of weak learnability. Machine Learning, 5(2): 197-227, 1990.
-
(1990)
Machine Learning
, vol.5
, Issue.2
, pp. 197-227
-
-
Schapire, R.1
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