-
1
-
-
0025725905
-
Instance-based learning algorithms
-
Aha, D., Kibler, D., and Albert, M. (1991). Instance-based learning algorithms. Machine Learning, 6:37-66.
-
(1991)
Machine Learning
, vol.6
, pp. 37-66
-
-
Aha, D.1
Kibler, D.2
Albert, M.3
-
3
-
-
37749034335
-
On chanching continuous attributes into ordered discrete attributes
-
Verlag, S., editor
-
Catlett, J. (1991). On chanching continuous attributes into ordered discrete attributes. In Verlag, S., editor, Proceedings of the European Working Session on Learning, pages 164-178.
-
(1991)
Proceedings of the European Working Session on Learning
, pp. 164-178
-
-
Catlett, J.1
-
4
-
-
34249832377
-
A bayesian method for the induction of probabilistic networks from data
-
Cooper, G. F. and Herskovits, E. A. (1992). A bayesian method for the induction of probabilistic networks from data. Machine Learning, 9:309-347.
-
(1992)
Machine Learning
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.A.2
-
5
-
-
0003687180
-
-
Springer
-
Cowell, R. G., Dawid, A. P., Lauritzen, S., and Spiegelharter, D. J. (1999). Probabilistic Networks and Expert Systems. Springer.
-
(1999)
Probabilistic Networks and Expert Systems
-
-
Cowell, R.G.1
Dawid, A.P.2
Lauritzen, S.3
Spiegelharter, D.J.4
-
6
-
-
0003555184
-
Nearest neighbor (nn) norms: Nn pattern recognition classification techniques
-
Dasarathy, B. V. (1991). Nearest neighbor (nn) norms: Nn pattern recognition classification techniques. IEEE Computer Society Press.
-
(1991)
IEEE Computer Society Press
-
-
Dasarathy, B.V.1
-
7
-
-
0031361611
-
Machine learning research: Four current directions
-
Dietterich, T. G. (1997). Machine learning research: four current directions. AI Magazine, 18(4):97-136.
-
(1997)
AI Magazine
, vol.18
, Issue.4
, pp. 97-136
-
-
Dietterich, T.G.1
-
8
-
-
85139983802
-
Supervised and unsupervised discretization of continuous features
-
Dougherty, J., Kohavi, R., and Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. International Conference on Machine Learning, pages 194-202.
-
(1995)
International Conference on Machine Learning
, pp. 194-202
-
-
Dougherty, J.1
Kohavi, R.2
Sahami, M.3
-
9
-
-
0031276011
-
Bayesian network classifiers
-
Friedman, N., Geiger, D., and Goldszmidt, M. (1997). Bayesian network classifiers. Machine Learning, 19(4):131-163.
-
(1997)
Machine Learning
, vol.19
, Issue.4
, pp. 131-163
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
10
-
-
34249761849
-
Learning bayesian networks: The combination of knowledge and statistical data
-
Heckerman, D., Geiger, D., and Chickering, D. M. (1995). Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243.
-
(1995)
Machine Learning
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
13
-
-
17744402661
-
Feature subset selection by bayesian networks based optimization
-
Inza, I., Larrañaga, P., Etxeberria, R., and Sierra, B. (2000). Feature subset selection by bayesian networks based optimization. Artificial Intelligence, 123(1-2):157-184.
-
(2000)
Artificial Intelligence
, vol.123
, Issue.1-2
, pp. 157-184
-
-
Inza, I.1
Larrañaga, P.2
Etxeberria, R.3
Sierra, B.4
-
14
-
-
0343773003
-
Feature subset selection by bayesian networks: A comparison with genetic and sequential algorithms
-
Inza, I., Larrañaga, P., and Sierra, B. (2001). Feature subset selection by bayesian networks: a comparison with genetic and sequential algorithms. International Journal of Approximate Reasoning, 27(2):143-164.
-
(2001)
International Journal of Approximate Reasoning
, vol.27
, Issue.2
, pp. 143-164
-
-
Inza, I.1
Larrañaga, P.2
Sierra, B.3
-
17
-
-
0030125843
-
Knowledge integration in a multiple classifier system
-
Lu, Y. (1996). Knowledge integration in a multiple classifier system. Applied Intelligence, 6:75-86.
-
(1996)
Applied Intelligence
, vol.6
, pp. 75-86
-
-
Lu, Y.1
-
18
-
-
0002593344
-
Multi-interval discretization of continuous-valued attributes for classification learning
-
Kauffman, M., editor
-
M., F. U. and Irani, K. B. (1993). Multi-interval discretization of continuous-valued attributes for classification learning. In Kauffman, M., editor, Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1022-1029.
-
(1993)
Proceedings of the 13th International Joint Conference on Artificial Intelligence
, pp. 1022-1029
-
-
M., F.U.1
Irani, K.B.2
-
19
-
-
0003612091
-
-
Michie, D., Spiegelhalter, D., and Taylor, C. e. (1995). Machine learning, neural and statistical classification.
-
(1995)
Machine Learning, Neural and Statistical Classification
-
-
Michie, D.1
Spiegelhalter, D.2
Taylor, C.E.3
-
22
-
-
0023347981
-
Evidential reasoning using stochastic simulation of causal models
-
Pearl, J. (1987). Evidential reasoning using stochastic simulation of causal models. Artificial Intelligence, 32(2):245-257.
-
(1987)
Artificial Intelligence
, vol.32
, Issue.2
, pp. 245-257
-
-
Pearl, J.1
-
25
-
-
84920511551
-
Medical bayesian networks
-
Sierra, B., Inza, I., and Larrañaga, P. (2000). Medical bayesian networks. Lecture Notes in Computer Science, 1933:4-14.
-
(2000)
Lecture Notes in Computer Science
, vol.1933
, pp. 4-14
-
-
Sierra, B.1
Inza, I.2
Larrañaga, P.3
-
26
-
-
0344447109
-
Predicting survival in malignant skin melanoma using bayesian networks automatically induced by genetic algorithms, an empirical comparision between different approaches
-
Sierra, B. and Larrañaga, P. (1998). Predicting survival in malignant skin melanoma using bayesian networks automatically induced by genetic algorithms, an empirical comparision between different approaches. Artificial Intelligence in Medicine, 14:215-230.
-
(1998)
Artificial Intelligence in Medicine
, vol.14
, pp. 215-230
-
-
Sierra, B.1
Larrañaga, P.2
-
27
-
-
8444248476
-
Probabilistic-weighted k nearest neighbor algorithm: A new approach for gene expression based classification
-
IOS press
-
Sierra, B. and Lazkano, E. (2002). Probabilistic-weighted k nearest neighbor algorithm: a new approach for gene expression based classification. In KES02 proceedings, pages 932-939. IOS press.
-
(2002)
KES02 Proceedings
, pp. 932-939
-
-
Sierra, B.1
Lazkano, E.2
-
28
-
-
23044528412
-
Prototype selection and feature subset selection by estimation of distribution algorithms. A case study in the survival of cirrhotic patients treated with tips
-
Sierra, B., Lazkano, E., Inza, I., Merino, M., Larrañaga, P., and Quiroga, J. (2001a). Prototype selection and feature subset selection by estimation of distribution algorithms. a case study in the survival of cirrhotic patients treated with tips. Artificial Intelligence in Medicine, pages 20-29.
-
(2001)
Artificial Intelligence in Medicine
, pp. 20-29
-
-
Sierra, B.1
Lazkano, E.2
Inza, I.3
Merino, M.4
Larrañaga, P.5
Quiroga, J.6
-
29
-
-
0035019648
-
Using bayesian networks in the construction of a bi-level multi-classifier
-
Sierra, B., Serrano, N., Larrañaga, P., Plasencia, E. J., Inza, I., Jiménez, J. J., Revuelta, P., and Mora, M. L. (2001b). Using bayesian networks in the construction of a bi-level multi-classifier. Artificial Intelligence in Medicine, 22:233-248.
-
(2001)
Artificial Intelligence in Medicine
, vol.22
, pp. 233-248
-
-
Sierra, B.1
Serrano, N.2
Larrañaga, P.3
Plasencia, E.J.4
Inza, I.5
Jiménez, J.J.6
Revuelta, P.7
Mora, M.L.8
-
30
-
-
22644449823
-
Machine learning inspired approaches to combine standard medical measures at an intensive care unit
-
Sierra, B., Serrano, N., Larrańaga, P., Plasencia, E. J., Inza, I., Jiménez, J. J., Revuelta, P., and Mora, M. L. (1999). Machine learning inspired approaches to combine standard medical measures at an intensive care unit. Lecture Notes in Artificial Intelligence, 1620:366-371.
-
(1999)
Lecture Notes in Artificial Intelligence
, vol.1620
, pp. 366-371
-
-
Sierra, B.1
Serrano, N.2
Larrańaga, P.3
Plasencia, E.J.4
Inza, I.5
Jiménez, J.J.6
Revuelta, P.7
Mora, M.L.8
-
31
-
-
0000629975
-
Cross-validation choice and assessment of statistical procedures
-
Stone, M. (1974). Cross-validation choice and assessment of statistical procedures. Journal Royal of Statistical Society, 36:111-147.
-
(1974)
Journal Royal of Statistical Society
, vol.36
, pp. 111-147
-
-
Stone, M.1
-
32
-
-
0001884644
-
Individual comparisons by ranking methods
-
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics, 1:80-83.
-
(1945)
Biometrics
, vol.1
, pp. 80-83
-
-
Wilcoxon, F.1
-
33
-
-
0026860706
-
Methods for combining multiple classifiers and their applications to handwriting recognition
-
Xu, L., Kryzak, A., and Suen, C. Y. (1992). Methods for combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on SMC, 22:418-435.
-
(1992)
IEEE Transactions on SMC
, vol.22
, pp. 418-435
-
-
Xu, L.1
Kryzak, A.2
Suen, C.Y.3
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