-
2
-
-
0003495934
-
Bagging predictors
-
Dept. of Statistics, University of California, Berkeley
-
Breiman, L. 1995. Bagging predictors. Dept. of Statistics, University of California, Berkeley, Technical Report.
-
(1995)
Technical Report
-
-
Breiman, L.1
-
3
-
-
0003619255
-
Bias, variance, and arcing classifiers
-
Dept. of Statistics, University of California
-
Breiman, L. 1996. Bias, variance, and arcing classifiers. Dept. of Statistics, University of California, Technical Report (revised).
-
(1996)
Technical Report (Revised)
-
-
Breiman, L.1
-
4
-
-
0003802343
-
-
Wadsworth
-
Breiman, L., Friedman, J.H., Olshen, R.A., and Stone, C.J. 1984. Classification and Regression Trees. Wadsworth.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.A.3
Stone, C.J.4
-
5
-
-
0026852622
-
A new fast algorithm for effective training of neural classifiers
-
Chow, W.S. and Chen, Y.C. 1992. A new fast algorithm for effective training of neural classifiers. Pattern Recognition, 25:423-429.
-
(1992)
Pattern Recognition
, vol.25
, pp. 423-429
-
-
Chow, W.S.1
Chen, Y.C.2
-
6
-
-
0004053609
-
Machine learning bias, statistical bias, and statistical variance of decision tree algorithms
-
Dept. of Computer Science
-
Dietterich, T.G. and Kong, E.B. 1995. Machine learning bias, statistical bias, and statistical variance of decision tree algorithms. Dept. of Computer Science, Oregon State University Technical Report.
-
(1995)
Oregon State University Technical Report
-
-
Dietterich, T.G.1
Kong, E.B.2
-
7
-
-
0004183412
-
Cross-validation and the bootstrap: Estimating the error rate of a prediction rule
-
Dept. of Statistics
-
Efron, B. and Tibshirani, R. 1995. Cross-validation and the bootstrap: Estimating the error rate of a prediction rule. Dept. of Statistics, Stanford University Technical Report.
-
(1995)
Stanford University Technical Report
-
-
Efron, B.1
Tibshirani, R.2
-
9
-
-
0008637313
-
Classification and multiple response regression through projection pursuit
-
Dept. of Statistics
-
Friedman, J.H. 1985. Classification and multiple response regression through projection pursuit. Dept. of Statistics, Stanford University Technical Report LCS012.
-
(1985)
Stanford University Technical Report
, vol.LCS012
-
-
Friedman, J.H.1
-
10
-
-
0001942829
-
Neural networks and the bias/variance dilemma
-
Geman, S., Bienenstock, E., and Doursat, R. 1992. Neural networks and the bias/variance dilemma. Neural Comp., 4:1-18.
-
(1992)
Neural Comp.
, vol.4
, pp. 1-18
-
-
Geman, S.1
Bienenstock, E.2
Doursat, R.3
-
13
-
-
0000632751
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
AAAI Press and M.I.T. Press
-
Heckerman, D., Geiger, D., and Chickering, D. 1994. Learning Bayesian networks: the combination of knowledge and statistical data. In Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence, pp. 293-301, AAAI Press and M.I.T. Press.
-
(1994)
Proceedings of the Tenth Conference on Uncertainty in Artificial Intelligence
, pp. 293-301
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.3
-
14
-
-
1542603058
-
A k-nearest neighbour classifier for assessing consumer credit risk
-
Henley, W.E. and Hand, D.J. 1996. A k-nearest neighbour classifier for assessing consumer credit risk. The Statistician, 45:77-95.
-
(1996)
The Statistician
, vol.45
, pp. 77-95
-
-
Henley, W.E.1
Hand, D.J.2
-
15
-
-
0027580356
-
Very simple classification rules perform well on most commonly used data sets
-
Holte, R.C. 1993. Very simple classification rules perform well on most commonly used data sets. Machine Learning, 11:63-90.
-
(1993)
Machine Learning
, vol.11
, pp. 63-90
-
-
Holte, R.C.1
-
16
-
-
0002872346
-
Bias plus variance decomposition for zero-one loss functions
-
Dept. of Computer Science
-
Kohavi, R. and Wolpert, D.H. 1996. Bias plus variance decomposition for zero-one loss functions. Dept. of Computer Science, Stanford University Technical Report.
-
(1996)
Stanford University Technical Report
-
-
Kohavi, R.1
Wolpert, D.H.2
-
17
-
-
0025489075
-
The self-organizing map
-
Kohonen, T. 1990. The self-organizing map. Proceedings of the IEEE, 78:1464-1480.
-
(1990)
Proceedings of the IEEE
, vol.78
, pp. 1464-1480
-
-
Kohonen, T.1
-
18
-
-
0026992322
-
An analysis of Bayesian classifiers
-
AAAI Press and M.I.T. Press
-
Langley, P., Iba, W., and Thompson, K. 1992. An analysis of Bayesian classifiers. In Proceedings of the Tenth National Conference on Artificial Intelligence, pp. 223-228, AAAI Press and M.I.T. Press.
-
(1992)
Proceedings of the Tenth National Conference on Artificial Intelligence
, pp. 223-228
-
-
Langley, P.1
Iba, W.2
Thompson, K.3
-
19
-
-
0024771475
-
Pattern classification using neural networks
-
Lippmann, R. 1989. Pattern classification using neural networks. IEEE Communications Magazine, 11:47-64.
-
(1989)
IEEE Communications Magazine
, vol.11
, pp. 47-64
-
-
Lippmann, R.1
-
23
-
-
0003667773
-
Bias, variance and prediction error for classification rules
-
Dept. of Statistics
-
Tibshirani, R. 1996. Bias, variance and prediction error for classification rules. Dept. of Statistics, University of Toronto Technical Report.
-
(1996)
University of Toronto Technical Report
-
-
Tibshirani, R.1
-
24
-
-
0001415299
-
Comparison of discrimination techniques applied to a complex data set of head injured patients
-
Titterington, D.M., Murray, G.D., Murray, L.S., Spiegelhalter, D.J., Skene, A.M., Habbema, J.D.F., and Gelpke, G.J. 1981. Comparison of discrimination techniques applied to a complex data set of head injured patients. J. Roy. Statist. Soc. A, 144:145-175.
-
(1981)
J. Roy. Statist. Soc. A
, vol.144
, pp. 145-175
-
-
Titterington, D.M.1
Murray, G.D.2
Murray, L.S.3
Spiegelhalter, D.J.4
Skene, A.M.5
Habbema, J.D.F.6
Gelpke, G.J.7
|