-
2
-
-
0004239503
-
-
Belmont, CA: Wadsworth
-
Becker, R., Chambers, J., and Wilks, A. (1988), The New S Language, Belmont, CA: Wadsworth.
-
(1988)
The New S Language
-
-
Becker, R.1
Chambers, J.2
Wilks, A.3
-
3
-
-
23044432403
-
-
Technical Report 324, University of California, Berkeley, Dept. of Statistics
-
Breiman, L. (1991a), “Hinging Hyperplanes for Regression, Classification and Function Approximation,” Technical Report 324, University of California, Berkeley, Dept. of Statistics.
-
(1991)
Hinging Hyperplanes for Regression, Classification and Function Approximation
-
-
Breiman, L.1
-
4
-
-
30244511944
-
The π-Method for Estimating Multivariate Functions From Noisy Data
-
—— (1991b), “The π-Method for Estimating Multivariate Functions From Noisy Data,” Technometrics, 33(2), 125–160.
-
(1991)
Technometrics
, vol.33
, Issue.2
, pp. 125-160
-
-
Breiman, L.1
-
5
-
-
84950771789
-
“Estimating Optimal Transformation for Multiple Regression and Correlation” (with discussion)
-
Breiman, L., and Friedman, J. (1985), “Estimating Optimal Transformation for Multiple Regression and Correlation” (with discussion), Journal of the American Statistical Association, 80, 580–619.
-
(1985)
Journal of the American Statistical Association
, vol.80
, pp. 580-619
-
-
Breiman, L.1
Friedman, J.2
-
6
-
-
0003802343
-
-
Belmont, CA: Wadsworth
-
Breiman, L., Friedman, J. H., Olshen, R., and Stone, C. J. (1984), Classification and Regression Trees, Belmont, CA: Wadsworth.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.H.2
Olshen, R.3
Stone, C.J.4
-
7
-
-
0012812628
-
-
technical report, University of California, Berkeley, Dept. of Statistics
-
Breiman, L., and Ihaka, R. (1984), “Nonlinear Discriminant Analysis via Scaling and ACE,” technical report, University of California, Berkeley, Dept. of Statistics.
-
(1984)
Nonlinear Discriminant Analysis via Scaling and ACE
-
-
Breiman, L.1
Ihaka, R.2
-
8
-
-
0001699291
-
Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters
-
2
-
Bridle, J. S. (1989), “Training Stochastic Model Recognition Algorithms as Networks can Lead to Maximum Mutual Information Estimation of Parameters,” Advances in Neural Information Processing Systems, Touretzky, D. ed., 2.
-
(1989)
Advances in Neural Information Processing Systems, Touretzky, D
-
-
Bridle, J.S.1
-
9
-
-
0000014224
-
“Linear Smoothers and Additive Models” (with discussion)
-
Buja, A., Hastie, T., and Tibshirani, R. (1989), “Linear Smoothers and Additive Models” (with discussion), The Annals of Statistics, 17, 453–555.
-
(1989)
The Annals of Statistics
, vol.17
, pp. 453-555
-
-
Buja, A.1
Hastie, T.2
Tibshirani, R.3
-
10
-
-
0006432129
-
The Efficiency of Multinomial Logistic Regression Compared With Multigroup Normal Discriminant Analysis
-
Bull, S., and Donner, A. (1987), “The Efficiency of Multinomial Logistic Regression Compared with Multigroup Normal Discriminant Analysis,” Journal of the American Statistical Association, 82, 1118–1122.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 1118-1122
-
-
Bull, S.1
Donner, A.2
-
11
-
-
0011847141
-
Transforming Neural-Net Output Levels to Probability Distributions
-
R. Lippmann, J. Moody, and D. Touretzky, Denver: Morgan Kaufman
-
Denker, J. S., and Le Cun, Y. (1991), “Transforming Neural-Net Output Levels to Probability Distributions,” Advances in Neural Information Processing Systems, Vol. 3, eds. R. Lippmann, J. Moody, and D. Touretzky, Denver: Morgan Kaufman.
-
(1991)
Advances in Neural Information Processing Systems
, vol.3
-
-
Denker, J.S.1
Le Cun, Y.2
-
12
-
-
84886193637
-
The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis
-
Efron, B. (1975), “The Efficiency of Logistic Regression Compared to Normal Discriminant Analysis,” Journal of the American Statistical Association, 70, 892–898.
-
(1975)
Journal of the American Statistical Association
, vol.70
, pp. 892-898
-
-
Efron, B.1
-
14
-
-
0002432565
-
“Multivariate Adaptive Regression Splines” (with discussion)
-
—— (1991), “Multivariate Adaptive Regression Splines” (with discussion),” The Annals of Statistics, 19, 1–141.
-
(1991)
The Annals of Statistics
, vol.19
, pp. 1-141
-
-
Friedman, J.1
-
15
-
-
84950941772
-
Projection Pursuit Regression
-
Friedman, J., and Stuetzle, W. (1981), “Projection Pursuit Regression, Journal of the American Statistical Association, 76, 817–823.
-
(1981)
Journal of the American Statistical Association
, vol.76
, pp. 817-823
-
-
Friedman, J.1
Stuetzle, W.2
-
16
-
-
84950959578
-
-
technical report, Stanford University, Dept. of Statistics
-
—— (1982), “Supersmoother,” technical report, Stanford University, Dept. of Statistics.
-
(1982)
Supersmoother
-
-
Friedman, J.1
Stuetzle, W.2
-
19
-
-
84972517864
-
Discriminant Analysis and Clustering
-
Gnanadesikan, R., and Kettenring, J. (eds.) (1989), “Discriminant Analysis and Clustering,” Statistical Science, 4, 34–69.
-
(1989)
Statistical Science
, vol.4
, pp. 34-69
-
-
Gnanadesikan, R.1
Kettenring, J.2
-
20
-
-
0023843391
-
Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets
-
Gorman, R., and Sejnowski, T. (1988), “Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets,” Neural Networks, 1, 75–89.
-
(1988)
Neural Networks
, vol.1
, pp. 75-89
-
-
Gorman, R.1
Sejnowski, T.2
-
21
-
-
0041296544
-
-
Technical Report 847, University of Wisconsin-Madison, Dept. of Statistics
-
Gu, C., and Wahba, G. (1984), “Minimizing GCV/GML Scores with Multiple Smoothing Parameters via Newton’s Method,” Technical Report 847, University of Wisconsin-Madison, Dept. of Statistics.
-
(1984)
Minimizing GCV/GML Scores with Multiple Smoothing Parameters via Newtons Method
-
-
Gu, C.1
Wahba, G.2
-
22
-
-
0004963827
-
Discussion of “Flexible parsimonious smoothing and additive modelling” by Friedman and Silverman
-
Hastie, T. (1989), Discussion of “Flexible parsimonious smoothing and additive modelling” by Friedman and Silverman, Technometrics, 31, 3–39.
-
(1989)
Technometrics
, vol.31
, pp. 3-39
-
-
Hastie, T.1
-
23
-
-
21844486429
-
Penalized discriminant analysis
-
submitted to
-
Hastie, T., Buja, A., and Tibshirani, R. (1994), “Penalized discriminant analysis,” submitted to The Annals of Statistics.
-
(1994)
The Annals of Statistics
-
-
Hastie, T.1
Buja, A.2
Tibshirani, R.3
-
24
-
-
84862030888
-
Discussion of “Projection Pursuit” by Huber
-
Hastie, T., and Tibshirani, R. (1985), Discussion of “Projection Pursuit” by Huber,” The Annals of Statistics, 13, 502–507.
-
(1985)
The Annals of Statistics
, vol.13
, pp. 502-507
-
-
Hastie, T.1
Tibshirani, R.2
-
26
-
-
0024732792
-
Connectionist Learning Procedures
-
Hinton, G. (1989), “Connectionist Learning Procedures,” Artificial Intelligence, 40, 185–234.
-
(1989)
Artificial Intelligence
, vol.40
, pp. 185-234
-
-
Hinton, G.1
-
27
-
-
0024771475
-
Pattern Classification Using Neural Networks
-
Lippman, R, (1989), “Pattern Classification Using Neural Networks,” IEEE Communications Magazine, 11, 47–64.
-
(1989)
IEEE Communications Magazine
, vol.11
, pp. 47-64
-
-
Lippman, R.1
-
28
-
-
84950459261
-
Tree-Structured Classification via Generalized Discriminant Analysis
-
Loh, W., and Vanichsetakul, N. (1988), “Tree-Structured Classification via Generalized Discriminant Analysis,” Journal of the American Statistical Association, 83, 715–728.
-
(1988)
Journal of the American Statistical Association
, vol.83
, pp. 715-728
-
-
Loh, W.1
Vanichsetakul, N.2
-
29
-
-
0003607151
-
-
New York: Academic Press
-
Mardia, K., Kent, J., and Bibby, J. (1979), Multivariate Analysis, New York: Academic Press.
-
(1979)
Multivariate Analysis
-
-
Mardia, K.1
Kent, J.2
Bibby, J.3
-
30
-
-
0000067590
-
Multivariate Adaptive Regression Splines
-
Discussion of, by J. Friedman
-
Owen, A. (1991), Discussion of “Multivariate Adaptive Regression Splines” by J. Friedman, The Annals of Statistics, 19, 102–112.
-
(1991)
The Annals of Statistics
, vol.19
, pp. 102-112
-
-
Owen, A.1
-
32
-
-
0000696616
-
-
(with discussion)
-
Ripley, B. (1994), “Neural Networks and Related Methods for Classification,” (with discussion), Vol. 56, No. 3, 409–456.
-
(1994)
Neural Networks and Related Methods for Classification
, vol.56
, Issue.3
, pp. 409-456
-
-
Ripley, B.1
-
34
-
-
0003838144
-
-
Ph.D. thesis, Cambridge University, Dept. of Electrical Engineering
-
Robinson, A. (1989), “Dynamic Error Propagation Networks,” Ph.D. thesis, Cambridge University, Dept. of Electrical Engineering.
-
(1989)
Dynamic Error Propagation Networks
-
-
Robinson, A.1
|