-
1
-
-
0030235637
-
Error reduction through learning multiple descriptions
-
Ali, K. M. & Pazzani, M. J. (1996). Error reduction through learning multiple descriptions. Machine Learning, 24(3), 173-202.
-
(1996)
Machine Learning
, vol.24
, Issue.3
, pp. 173-202
-
-
Ali, K.M.1
Pazzani, M.J.2
-
2
-
-
0030381077
-
The quickhull algorithm for convex hulls
-
Barber, C. B., Dobkin, D. P., & Huhdanpaa, H. (1996). The quickhull algorithm for convex hulls. ACM Transactions on Mathematical Software, 22(4), 469-483. Available from ftp://geom.umn.edu/pub/software/qhull. tar.Z.
-
(1996)
ACM Transactions on Mathematical Software
, vol.22
, Issue.4
, pp. 469-483
-
-
Barber, C.B.1
Dobkin, D.P.2
Huhdanpaa, H.3
-
3
-
-
0022500965
-
The use of ROC curves in test performance evaluation
-
Beck, J. R. & Schultz, E. K. (1986). The use of ROC curves in test performance evaluation. Arch Pathol Lab Med, 110, 13-20.
-
(1986)
Arch Pathol Lab Med
, vol.110
, pp. 13-20
-
-
Beck, J.R.1
Schultz, E.K.2
-
5
-
-
0003451960
-
-
John Wiley and Sons, Inc. Republished by Dover Publications, New York, in 1979
-
Blackwell, D. & Girshick, M. A. (1954). Theory of Games and Statistical Decisions. John Wiley and Sons, Inc. Republished by Dover Publications, New York, in 1979.
-
(1954)
Theory of Games and Statistical Decisions
-
-
Blackwell, D.1
Girshick, M.A.2
-
6
-
-
0031191630
-
The use of the area under the ROC curve in the evaluation of machine learning algorithms
-
Bradley, A. P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(1), 1145-1159.
-
(1997)
Pattern Recognition
, vol.30
, Issue.1
, pp. 1145-1159
-
-
Bradley, A.P.1
-
7
-
-
0030211964
-
Bagging predictors
-
Breiman, L. (1996). Bagging predictors. Machine Learning, 24, 123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
8
-
-
0003802343
-
-
Belmont, CA: Wadsworth International Group
-
Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). Classification and Regression Trees. Belmont, CA: Wadsworth International Group.
-
(1984)
Classification and Regression Trees
-
-
Breiman, L.1
Friedman, J.2
Olshen, R.3
Stone, C.4
-
11
-
-
0026405773
-
A rule-learning program in high energy physics event classification
-
Clearwater, S. & Stern, E. (1991). A rule-learning program in high energy physics event classification. Comp Physics Comm, 67, 159-182.
-
(1991)
Comp Physics Comm
, vol.67
, pp. 159-182
-
-
Clearwater, S.1
Stern, E.2
-
12
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
Dietterich, T. G. (1998). Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10(7), 1895-1924.
-
(1998)
Neural Computation
, vol.10
, Issue.7
, pp. 1895-1924
-
-
Dietterich, T.G.1
-
14
-
-
0031269184
-
Beyond independence: Conditions for the optimality of the simple bayesian classifier
-
Domingos, P. & Pazzani, M. (1997). Beyond independence: Conditions for the optimality of the simple bayesian classifier. Machine Learning, 29, 103-130.
-
(1997)
Machine Learning
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
15
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
A. Prieditis & S. Russell (Eds.), San Francisco: Morgan Kaufmann
-
Dougherty, J., Kohavi, R., & Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. In A. Prieditis & S. Russell (Eds.), Proceedings of the Twelfth International Conference on Machine Learning (pp. 194-202). San Francisco: Morgan Kaufmann.
-
(1995)
Proceedings of the Twelfth International Conference on Machine Learning
, pp. 194-202
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
17
-
-
0004080666
-
Signal Detection Theory and ROC Analysis
-
New York: Academic Press
-
Egan, J. P. (1975). Signal Detection Theory and ROC Analysis. Series in Cognitition and Perception. New York: Academic Press.
-
(1975)
Series in Cognitition and Perception
-
-
Egan, J.P.1
-
18
-
-
0012130233
-
Learning goal oriented bayesian networks for telecommunications risk management
-
L. Saitta (Ed.), San Francisco, CA: Morgan Kaufmann
-
Ezawa, K., Singh, M., & Norton, S. (1996). Learning goal oriented bayesian networks for telecommunications risk management. In L. Saitta (Ed.), Proceedings of the Thirteenth International Conference on Machine Learning (pp. 139-147). San Francisco, CA: Morgan Kaufmann.
-
(1996)
Proceedings of the Thirteenth International Conference on Machine Learning
, pp. 139-147
-
-
Ezawa, K.1
Singh, M.2
Norton, S.3
-
19
-
-
85124136348
-
Combining data mining and machine learning for effective user profiling
-
Simoudis, Han, & Fayyad (Eds.), Menlo Park, CA: AAAI Press
-
Fawcett, T. & Provost, F. (1996). Combining data mining and machine learning for effective user profiling. In Simoudis, Han, & Fayyad (Eds.), Proceedings on the Second International Conference on Knowledge Discovery and Data Mining (pp. 8-13). Menlo Park, CA: AAAI Press.
-
(1996)
Proceedings on the Second International Conference on Knowledge Discovery and Data Mining
, pp. 8-13
-
-
Fawcett, T.1
Provost, F.2
-
23
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (ROC) curve
-
Hanley, J. A. & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36.
-
(1982)
Radiology
, vol.143
, pp. 29-36
-
-
Hanley, J.A.1
McNeil, B.J.2
-
25
-
-
85164392958
-
A study of cross-validation and bootstrap for accuracy estimation and model selection
-
C. S. Mellish (Ed.), San Francisco: Morgan Kaufmann
-
Kohavi, R. (1995). A study of cross-validation and bootstrap for accuracy estimation and model selection. In C. S. Mellish (Ed.), Proceedings of the 14th International Joint Conference on Artificial Intelligence (pp. 1137-1143). San Francisco: Morgan Kaufmann.
-
(1995)
Proceedings of the 14th International Joint Conference on Artificial Intelligence
, pp. 1137-1143
-
-
Kohavi, R.1
-
26
-
-
0000210889
-
Data mining using script M signℒscript C sign++: A machine learning library in C++
-
Kohavi, R., Sommerfield, D., & Dougherty, J. (1997). Data mining using script M signℒscript C sign++: A machine learning library in C++. International Journal on Artificial Intelligence Tools, 6(4), 537-566. Available: http://www.sgi.com/ Technology/mlc.
-
(1997)
International Journal on Artificial Intelligence Tools
, vol.6
, Issue.4
, pp. 537-566
-
-
Kohavi, R.1
Sommerfield, D.2
Dougherty, J.3
-
27
-
-
0031998121
-
Machine learning for the detection of oil spills in satellite radar images
-
Kubat, M., Holte, R., & Matwin, S. (1998). Machine learning for the detection of oil spills in satellite radar images. Machine Learning, 30(2/3), 195-215.
-
(1998)
Machine Learning
, vol.30
, Issue.2-3
, pp. 195-215
-
-
Kubat, M.1
Holte, R.2
Matwin, S.3
-
28
-
-
85041528332
-
Reducing misclassification costs
-
San Francisco: Morgan Kaufmann
-
Pazzani, M., Merz, C., Murphy, P., Ali, K., Hume, T., & Brunk, C. (1994). Reducing misclassification costs. In Proceedings of the Eleventh International Conference on Machine Learning (pp. 217-225). San Francisco: Morgan Kaufmann.
-
(1994)
Proceedings of the Eleventh International Conference on Machine Learning
, pp. 217-225
-
-
Pazzani, M.1
Merz, C.2
Murphy, P.3
Ali, K.4
Hume, T.5
Brunk, C.6
-
29
-
-
85101511266
-
Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions
-
Menlo Park, CA: AAAI Press
-
Provost, F. & Fawcett, T. (1997). Analysis and visualization of classifier performance: Comparison under imprecise class and cost distributions. In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (pp. 43-48). Menlo Park, CA: AAAI Press.
-
(1997)
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining
, pp. 43-48
-
-
Provost, F.1
Fawcett, T.2
-
30
-
-
0002900357
-
The case against accuracy estimation for comparing induction algorithms
-
J. Shavlik (Ed.), San Francisco, CA: Morgan Kaufmann
-
Provost, F., Fawcett, T., & Kohavi, R. (1998). The case against accuracy estimation for comparing induction algorithms. In J. Shavlik (Ed.), Proceedings of the Fifteenth International Conference on Machine Learning (pp. 445-453). San Francisco, CA: Morgan Kaufmann.
-
(1998)
Proceedings of the Fifteenth International Conference on Machine Learning
, pp. 445-453
-
-
Provost, F.1
Fawcett, T.2
Kohavi, R.3
-
32
-
-
0032001170
-
Learning in the "Real World"
-
Saitta, L. & Neri, F. (1998). Learning in the "Real World". Machine Learning, 30, 133-163.
-
(1998)
Machine Learning
, vol.30
, pp. 133-163
-
-
Saitta, L.1
Neri, F.2
-
33
-
-
27144463192
-
On comparing classifiers: Pitfalls to avoid and a recommended approach
-
Salzberg, S. L. (1997). On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery, 1, 317-328.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 317-328
-
-
Salzberg, S.L.1
-
34
-
-
0004320335
-
Note on the location of optimal classifiers in ROC space
-
Oxford University
-
Srinivasan, A. (1999). Note on the location of optimal classifiers in ROC space. Technical report PRG-TR-2-99, Oxford University.
-
(1999)
Technical Report PRG-TR-2-99
-
-
Srinivasan, A.1
-
36
-
-
0023890867
-
Measuring the accuracy of diagnostic systems
-
Swets, J. (1988). Measuring the accuracy of diagnostic systems. Science, 240, 1285-1293.
-
(1988)
Science
, vol.240
, pp. 1285-1293
-
-
Swets, J.1
-
37
-
-
0041935863
-
Building robust learning systems by computing induction and optimization
-
N. S. Sridharan (Ed.), San Francisco, CA: Morgan Kaufmann
-
Tcheng, D., Lambert, B., Lu, S. C.-Y., & Rendell, L. (1989). Building robust learning systems by computing induction and optimization. In N. S. Sridharan (Ed.), Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (pp. 806-812). San Francisco, CA: Morgan Kaufmann.
-
(1989)
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence
, pp. 806-812
-
-
Tcheng, D.1
Lambert, B.2
Lu, S.C.-Y.3
Rendell, L.4
-
38
-
-
0003558537
-
-
http://ai.iit.nrc.ca/bibliographies/ cost-sensitive.html
-
Turney, P. (1996). Cost sensitive learning bibliography. Available: http://ai.iit.nrc.ca/bibliographies/ cost-sensitive.html.
-
(1996)
Cost Sensitive Learning Bibliography
-
-
Turney, P.1
-
40
-
-
0002082928
-
Issues and problems in applying neural computing to target marketing
-
Zahavi, J. & Levin, N. (1997). Issues and problems in applying neural computing to target marketing. Journal of Direct Marketing, 11(4), 63-75.
-
(1997)
Journal of Direct Marketing
, vol.11
, Issue.4
, pp. 63-75
-
-
Zahavi, J.1
Levin, N.2
|