-
1
-
-
70349324449
-
A practitioner's guide to generalized linear models. Casualty Actuarial Society (CAS)
-
Anderson, D.; Feldblum, S.; Modlin, C.; Schirmacher, D. Schirmacher, E.; & Thandi, N. (2007). A practitioner's guide to generalized linear models. Casualty Actuarial Society (CAS), Syllabus Year: 2010, Exam Number: 9, 1-116.
-
(2007)
Syllabus Year: 2010, Exam Number
, vol.9
, pp. 1-116
-
-
Anderson, D.1
Feldblum, S.2
Modlin, C.3
Schirmacher Schirmacher, D.E.4
Thandi, N.5
-
3
-
-
0000245743
-
Statistical modeling: The two cultures
-
L. Brieman Statistical modeling: The two cultures Statistical Science 16 2001 199 231
-
(2001)
Statistical Science
, vol.16
, pp. 199-231
-
-
Brieman, L.1
-
4
-
-
1542543055
-
Statistical motor rating: Making effective use of your data
-
M. Brockman, and T. Wright Statistical motor rating: Making effective use of your data Journal of the Institute of Actuaries 119 1992 457 543
-
(1992)
Journal of the Institute of Actuaries
, vol.119
, pp. 457-543
-
-
Brockman, M.1
Wright, T.2
-
5
-
-
85083464467
-
Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection
-
Chan, P.; & Stolfo, S. (1998). Toward scalable learning with non-uniform class and cost distributions: A case study in credit card fraud detection. Proceedings of the International Conference on Knowledge Discovery and Data Mining, 4 (pp. 164-168).
-
(1998)
Proceedings of the International Conference on Knowledge Discovery and Data Mining
, vol.4
, pp. 164-168
-
-
Chan, P.1
Stolfo, S.2
-
6
-
-
80255130559
-
-
University of Montreal, DIRO Technical Report
-
Chapados, N.; Bengio, Y.; Vincent, P.; Ghosn, J.; Dugas, C.; Takeuchi, I.; et al. (2001). Estimating car insurance premia: A case study in high-dimensional data inference. University of Montreal, DIRO Technical Report, 1199.
-
(2001)
Estimating Car Insurance Premia: A Case Study in High-dimensional Data Inference
, pp. 1199
-
-
Chapados, N.1
Bengio, Y.2
Vincent, P.3
Ghosn, J.4
Dugas, C.5
Takeuchi, I.6
-
7
-
-
1442356040
-
A multiple resampling method for learning from imbalanced data sets
-
T. Estabrooks, and T. Japkowicz A multiple resampling method for learning from imbalanced data sets Computational Intelligence 20 2004 315 354
-
(2004)
Computational Intelligence
, vol.20
, pp. 315-354
-
-
Estabrooks, T.1
Japkowicz, T.2
-
10
-
-
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 2000 337 407 (Pubitemid 33227445)
-
(2000)
Annals of Statistics
, vol.28
, Issue.2
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
11
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
J. Friedman Greedy function approximation: A gradient boosting machine The Annals of Statistics 29 2001 1189 1232 (Pubitemid 33405972)
-
(2001)
Annals of Statistics
, vol.29
, Issue.5
, pp. 1189-1232
-
-
Friedman, J.H.1
-
12
-
-
0037186544
-
Stochastic gradient boosting
-
DOI 10.1016/S0167-9473(01)00065-2, PII S0167947301000652
-
J. Friedman Stochastic gradient boosting Computational Statistics & Data Analysis 38 2002 367 378 (Pubitemid 34197167)
-
(2002)
Computational Statistics and Data Analysis
, vol.38
, Issue.4
, pp. 367-378
-
-
Friedman, J.H.1
-
16
-
-
0035618101
-
Explaining rare events in international relations
-
DOI 10.1162/00208180152507597
-
G. King, and L. Zeng Explaining rare events in international relations International Organization 55 2001 693 715 (Pubitemid 33584933)
-
(2001)
International Organization
, vol.55
, Issue.3
, pp. 693-715
-
-
King, G.1
Zeng, L.2
-
17
-
-
80255131992
-
Enhancing generalised linear models with data mining
-
Discussion Paper Program
-
Kolyshkina, I.; Wong, S.; & Lim, S. (2004). Enhancing generalised linear models with data mining. Casualty Actuarial Society 2004, Discussion Paper Program.
-
(2004)
Casualty Actuarial Society 2004
-
-
Kolyshkina, I.1
Wong, S.2
Lim, S.3
-
18
-
-
33744526493
-
Bagging and boosting classification trees to predict churn
-
DOI 10.1509/jmkr.43.2.276
-
A. Lemmens, and C. Croux Bagging and boosting classification trees to predict churn Journal of Marketing Research 43 2006 276 286 (Pubitemid 43813059)
-
(2006)
Journal of Marketing Research
, vol.43
, Issue.2
, pp. 276-286
-
-
Lemmens, A.1
Croux, C.2
-
21
-
-
0025448521
-
The strength of weak learnability
-
R. Schapire The strength of weak learnability Machine Learning 5 1990 197 227
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.1
-
22
-
-
34547673383
-
Cost-sensitive boosting for classification of imbalanced data
-
DOI 10.1016/j.patcog.2007.04.009, PII S0031320307001835
-
Y. Sun, M. Kamel, A. Wong, and Y. Wang Cost-sensitive boosting for classification of imbalanced data Pattern Recognition 40 2007 3358 3378 (Pubitemid 47223287)
-
(2007)
Pattern Recognition
, vol.40
, Issue.12
, pp. 3358-3378
-
-
Sun, Y.1
Kamel, M.S.2
Wong, A.K.C.3
Wang, Y.4
-
23
-
-
1442275185
-
Learning when training data are costly: The effect of class distribution on tree induction
-
G. Weiss, and F. Provost Learning when training data are costly: The effect of class distribution on tree induction Journal of Artificial Intelligence Research 19 2003 315 354 (Pubitemid 41525924)
-
(2003)
Journal of Artificial Intelligence Research
, vol.19
, pp. 315-354
-
-
Weiss, G.M.1
Provost, F.2
|