-
2
-
-
0030211964
-
Bagging predictors
-
BREIMAN, L. (1996a). Bagging predictors. Machine Learning 26 123-140.
-
(1996)
Machine Learning
, vol.26
, pp. 123-140
-
-
Breiman, L.1
-
3
-
-
0030344230
-
The heuristics of instability in model selection
-
BREIMAN, L. (1996b). The heuristics of instability in model selection. Ann. Statist. 24 2350-2383.
-
(1996)
Ann. Statist.
, vol.24
, pp. 2350-2383
-
-
Breiman, L.1
-
4
-
-
0003802343
-
-
Chapman and Hall, London
-
BREIMAN, L., FRIEDMAN, J., OLSHEN, R. and STONE, C. (1984). Classification and Regression Trees. Chapman and Hall, London.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
7
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
FREUND, Y. and SCHAPIRE, R. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. System Sci. 55 119-139.
-
(1997)
J. Comput. System Sci.
, vol.55
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.2
-
11
-
-
0004175767
-
Learning Boolean formulae or finite automata is as hard as factoring
-
Aiken Computation Laboratory, Harvard Univ.
-
KEARNS, M. and VALIANT, L. G. (1988). Learning Boolean formulae or finite automata is as hard as factoring. Technical Report TR-14-88, Aiken Computation Laboratory, Harvard Univ.
-
(1988)
Technical Report TR-14-88
-
-
Kearns, M.1
Valiant, L.G.2
-
14
-
-
84992322729
-
Error-correcting output coding corrects bias and variance
-
(A. Prieditis and S. Russell, eds.) Morgan Kaufmann, San Francisco
-
KONG, E. B. and DIETTERICH, T. G. (1995). Error-correcting output coding corrects bias and variance. In Proceedings of the Twelfth International Conference on Machine Learning (A. Prieditis and S. Russell, eds.) 313-321. Morgan Kaufmann, San Francisco.
-
(1995)
Proceedings of the Twelfth International Conference on Machine Learning
, pp. 313-321
-
-
Kong, E.B.1
Dietterich, T.G.2
-
15
-
-
0000494466
-
Handwritten digit recognition with a back-propagation network
-
LE CUN, Y., BOSER, B., DENKER, J., HENDERSON, D., HOWARD, R., HUBBARD, W. and JACKEL, L. (1990). Handwritten digit recognition with a back-propagation network. Advances in Neural Information Processing Systems 2 396-404.
-
(1990)
Advances in Neural Information Processing Systems
, vol.2
, pp. 396-404
-
-
Le Cun, Y.1
Boser, B.2
Denker, J.3
Henderson, D.4
Howard, R.5
Hubbard, W.6
Jackel, L.7
-
16
-
-
0003612091
-
-
Ellis Horwood, London
-
MICHIE, D., SPIEGELHALTER, D. and TAYLOR, C. (1994). Machine Learning, Neural and Statistical Classification. Ellis Horwood, London.
-
(1994)
Machine Learning, Neural and Statistical Classification
-
-
Michie, D.1
Spiegelhalter, D.2
Taylor, C.3
-
18
-
-
0025448521
-
The strength of weak learnability
-
SCHAPIRE, R. (1990). The strength of weak learnability. Machine Learning 5 197-227.
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.1
-
20
-
-
0003667773
-
Bias, variance, and prediction error for classification rules
-
Dept. Statistics, Univ. Toronto
-
TIBSHIRANI, R. (1996). Bias, variance, and prediction error for classification rules. Technical Report, Dept. Statistics, Univ. Toronto.
-
(1996)
Technical Report
-
-
Tibshirani, R.1
|