-
1
-
-
0002662712
-
On the existence of maximum likelihood estimates in logistic regression models
-
Albert, A. and Anderson, J.A. (1984). On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71, 1-10.
-
(1984)
Biometrika
, vol.71
, pp. 1-10
-
-
Albert, A.1
Anderson, J.A.2
-
2
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
Boser, B, Guyon, I., and Vapnik, V. (1992). A training algorithm for optimal margin classifiers. Proceedings of the 5th Annual Workshop on Computational Learning Theory, 144-152.
-
(1992)
Proceedings of the 5th Annual Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser, B.1
Guyon, I.2
Vapnik, V.3
-
3
-
-
0000299922
-
A tutorial on support vector machines for pattern recognition
-
Burges, C.J.C. (1998). A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining. 2, 1-43.
-
(1998)
Knowledge Discovery and Data Mining
, vol.2
, pp. 1-43
-
-
Burges, C.J.C.1
-
4
-
-
0010588796
-
Measuring overlap in logistic regression
-
Technical Report, University of Dortmund, SFB 475
-
Christmann, A. and Roussseeuw, P.J. (1999). Measuring overlap in logistic regression. Technical Report, University of Dortmund, SFB 475. To appear in: Computational Statistics and Data Analysis. http://www.statistik.uni-dortmund.de/sfb475/berichte/tr25-99-software.zip
-
(1999)
Computational Statistics and Data Analysis
-
-
Christmann, A.1
Roussseeuw, P.J.2
-
5
-
-
84895372431
-
Double exponential families and their use in generalized linear regression
-
Efron, B. (1986). Double exponential families and their use in generalized linear regression. J. Amer. Statist. Assoc., 81, 709-721.
-
(1986)
J. Amer. Statist. Assoc.
, vol.81
, pp. 709-721
-
-
Efron, B.1
-
6
-
-
0000756680
-
The estimation from individual records of the relationship between dose and quantal response
-
Finney, D.J. (1947). The estimation from individual records of the relationship between dose and quantal response. Biometrika 34, 320-334.
-
(1947)
Biometrika
, vol.34
, pp. 320-334
-
-
Finney, D.J.1
-
7
-
-
0002842548
-
Comparison of five methods to estimate posterior probabilities
-
Hermans, J. and Habbema, J.D.F. (1975). Comparison of five methods to estimate posterior probabilities. ED V in Medizin und Biologie 6, 14-19.
-
(1975)
ED V in Medizin und Biologie
, vol.6
, pp. 14-19
-
-
Hermans, J.1
Habbema, J.D.F.2
-
8
-
-
0029255662
-
Robust trainability of single neurons
-
Höffgen, K.U., Simon, H.-U., van Horn, K.S. (1995). Robust Trainability of Single Neurons. J. Computer and System Sciences, 50, 114-125.
-
(1995)
J. Computer and System Sciences
, vol.50
, pp. 114-125
-
-
Höffgen, K.U.1
Simon, H.-U.2
Van Horn, K.S.3
-
10
-
-
0031458597
-
A physiologic in vitro model of the inferior vena cava with a computer-controlled flow system for testing of inferior vena cava filters
-
Jaeger, H.J., Matt, T., Geller, M., Kinne, R.K., Christmann, A., Mathias, K.D. (1997). A physiologic in vitro model of the inferior vena cava with a computer-controlled flow system for testing of inferior vena cava filters. Investigative Radiology 32, 511-522.
-
(1997)
Investigative Radiology
, vol.32
, pp. 511-522
-
-
Jaeger, H.J.1
Matt, T.2
Geller, M.3
Kinne, R.K.4
Christmann, A.5
Mathias, K.D.6
-
11
-
-
0031908970
-
In vitro model for the evaluation of inferior vena cava filters: Effect of experimental parameters on thrombus-capturing efficacy of the Vena Tech-LGM Filter
-
Jaeger, H.J., Kolb, S., Mair, T., Geller, M., Christmann, A., Kinne, R.K., Mathias, K.D. (1998). In vitro model for the evaluation of inferior vena cava filters: effect of experimental parameters on thrombus-capturing efficacy of the Vena Tech-LGM Filter. Journal of Vascular and Interventional Radiology 9, 295-304.
-
(1998)
Journal of Vascular and Interventional Radiology
, vol.9
, pp. 295-304
-
-
Jaeger, H.J.1
Kolb, S.2
Mair, T.3
Geller, M.4
Christmann, A.5
Kinne, R.K.6
Mathias, K.D.7
-
12
-
-
0002714543
-
Making large-scale SVM learning practical
-
B. Schölkopf, C. Burges, A. Smola (ed.), MIT-Press
-
Joachims, T. (1999). Making large-Scale SVM Learning Practical. In: B. Schölkopf, C. Burges, A. Smola (ed.), Advances in Kernel Methods Support Vector Learning, MIT-Press. http://www-ai.cs.uni-dortmund.de/svm_light
-
(1999)
Advances in Kernel Methods Support Vector Learning
-
-
Joachims, T.1
-
13
-
-
0000648982
-
Conditionally unbiased bounded-influence estimation in general regression models, with applications to generalized linear models
-
Künsch, H.R., Stefanski, L.A. and Carroll, R.J. (1989). Conditionally unbiased bounded-influence estimation in general regression models, with applications to generalized linear models. J. Amer. Statist. Assoc. 84, 460-466.
-
(1989)
J. Amer. Statist. Assoc.
, vol.84
, pp. 460-466
-
-
Künsch, H.R.1
Stefanski, L.A.2
Carroll, R.J.3
-
14
-
-
0016302182
-
A computer program for linear logistic regression analysis
-
Lee, E.T. (1974). A computer program for linear logistic regression analysis. Computer Programs in Biomedicine, 80-92.
-
(1974)
Computer Programs in Biomedicine
, pp. 80-92
-
-
Lee, E.T.1
-
16
-
-
0031334889
-
An improved algorithm for training support vector machines
-
Osuna, E., Freund, R., and Griosi, F. (1997). An improved algorithm for training support vector machines. Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, 276-285.
-
(1997)
Proceedings of the IEEE Workshop on Neural Networks for Signal Processing
, pp. 276-285
-
-
Osuna, E.1
Freund, R.2
Griosi, F.3
-
17
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. Burges, A. Smola (ed.), MIT-Press
-
Platt, J. (1999). Fast training of support vector machines using sequential minimal optimization. In: B. Schölkopf, C. Burges, A. Smola (ed.), Advances in Kernel Methods - Support Vector Learning, MIT-Press.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
-
-
Platt, J.1
-
19
-
-
0000350475
-
Logistic regression diagnostics
-
Pregibon, D. (1981). Logistic regression diagnostics. Ann. Statist. 9, 705-724.
-
(1981)
Ann. Statist.
, vol.9
, pp. 705-724
-
-
Pregibon, D.1
-
23
-
-
0002846981
-
Computing location depth and regression depth in higher dimensions
-
Rousseeuw, P.J. and Struyf, A. (1998). Computing location depth and regression depth in higher dimensions. Statistics and Computing 8, 193-203.
-
(1998)
Statistics and Computing
, vol.8
, pp. 193-203
-
-
Rousseeuw, P.J.1
Struyf, A.2
-
24
-
-
0001431651
-
A note on A. Albert and J.A. Anderson's conditions for the existence of maximum likelihood estimates in logistic regression models
-
Santner, T.J. and Duffy, D.E. (1986). A note on A. Albert and J.A. Anderson's conditions for the existence of maximum likelihood estimates in logistic regression models. Biometrika 73, 755-758.
-
(1986)
Biometrika
, vol.73
, pp. 755-758
-
-
Santner, T.J.1
Duffy, D.E.2
-
25
-
-
0004240479
-
-
Ph.D. thesis, TU Berlin, GMD Research Series No. 25
-
Smola, A.J. (1998). Learning with Kernels. Ph.D. thesis, TU Berlin, GMD Research Series No. 25. http://svm.first.gmd.de/software/logosurvey.html
-
(1998)
Learning with Kernels
-
-
Smola, A.J.1
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