-
1
-
-
0033570831
-
Combined 5 × 2 cv f test for comparing supervised classification learning algorithms
-
Alpaydin, E. (1999). Combined 5 × 2 cv f test for comparing supervised classification learning algorithms. Neural Comput., 11, 1885-1892.
-
(1999)
Neural Comput
, vol.11
, pp. 1885-1892
-
-
Alpaydin, E.1
-
2
-
-
0000280976
-
HUGIN-A shell for building Bayesian belief universes for expert systems
-
Andersen, S. K., Olesen, K. G., Jensen, F. V., & Jensen, F. (1989). HUGIN-A shell for building Bayesian belief universes for expert systems. Proc. of the 11th Int. Joint Conf. on AI(pp. 1080-1085).
-
(1989)
Proc. of the 11th Int. Joint Conf. on AI
, pp. 1080-1085
-
-
Andersen, S.K.1
Olesen, K.G.2
Jensen, F.V.3
Jensen, F.4
-
3
-
-
36948999941
-
-
University of California, Irvine, School of Information and Computer Sciences
-
Asuncion, A., & Newman, D. (2007). UCI machine learning repository. University of California, Irvine, School of Information and Computer Sciences. http://www.ics.uci.edu/̃mlearn/MLRepository.html.
-
(2007)
UCI machine learning repository
-
-
Asuncion, A.1
Newman, D.2
-
5
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar, J. (2006). Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res., 7, 1-30.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
6
-
-
0002419948
-
Beyond independence: Conditions for the optimality of the simple Bayesian classifier
-
Domingos, P., & Pazzani, M. (1996). Beyond independence: Conditions for the optimality of the simple Bayesian classifier. Proc. of the 13th Int. Conf. on Machine Learning (pp. 105-112).
-
(1996)
Proc. of the 13th Int. Conf. on Machine Learning
, pp. 105-112
-
-
Domingos, P.1
Pazzani, M.2
-
9
-
-
58149287952
-
An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons
-
Garcìa, S., & Herrera, F. (2009). An extension on "statistical comparisons of classifiers over multiple data sets" for all pairwise comparisons. J. Mach. Learn. Res., 9, 2677-2694.
-
(2009)
J. Mach. Learn. Res
, vol.9
, pp. 2677-2694
-
-
Garcìa, S.1
Herrera, F.2
-
11
-
-
0002610991
-
Learning augmented Bayesian classifiers: A comparison of distributionbased and classification-based approaches
-
Keogh, E., & Pazzani, M. (1999). Learning augmented Bayesian classifiers: A comparison of distributionbased and classification-based approaches. Proc. of the 7th Int. Workshop on AI and Statistics (pp. 225-230).
-
(1999)
Proc. of the 7th Int. Workshop on AI and Statistics
, pp. 225-230
-
-
Keogh, E.1
Pazzani, M.2
-
13
-
-
0004069443
-
Optimization by learning and simulation of Bayesian and Gaussian networks
-
University of the Basque Country
-
Larrañaga, P., Etxeberria, R., Lozano, J., & Peña, J. M. (1999). Optimization by learning and simulation of Bayesian and Gaussian networks (Technical Report). University of the Basque Country.
-
(1999)
Technical Report
-
-
Larrañaga, P.1
Etxeberria, R.2
Lozano, J.3
Peña, J.M.4
-
14
-
-
0041377763
-
Stable local computation with conditional Gaussian distributions
-
Lauritzen, S. L., & Jensen, F. (2001). Stable local computation with conditional Gaussian distributions. Statistics and Computing, 11, 191-203.
-
(2001)
Statistics and Computing
, vol.11
, pp. 191-203
-
-
Lauritzen, S.L.1
Jensen, F.2
-
17
-
-
33746334456
-
Supervised classification with conditional gaussian networks: Increasing the structure complexity from naive Bayes
-
Pérez, A., Larrañaga, P., & Inza, I. (2006). Supervised classification with conditional gaussian networks: Increasing the structure complexity from naive Bayes. Int. J. Approx. Reasoning, 43, 1-25.
-
(2006)
Int. J. Approx. Reasoning
, vol.43
, pp. 1-25
-
-
Pérez, A.1
Larrañaga, P.2
Inza, I.3
-
19
-
-
14844351034
-
Not So Naive Bayes: Aggregating One-Dependence Estimators
-
Webb, G. I., Boughton, J. R., & Wang, Z. (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Mach. Learn., 58, 5-24.
-
(2005)
Mach. Learn
, vol.58
, pp. 5-24
-
-
Webb, G.I.1
Boughton, J.R.2
Wang, Z.3
-
20
-
-
70049084781
-
-
Wek08 (2008). Collection of datasets avalaibles from the weka official homepage. http://www.cs.waikato.ac.nz/ml/weka/.
-
Wek08 (2008). Collection of datasets avalaibles from the weka official homepage. http://www.cs.waikato.ac.nz/ml/weka/.
-
-
-
-
22
-
-
37549018049
-
Top 10 algorithms in data mining
-
Wu, X., Kumar, V., Quinlan, J. R., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., Zhou, Z.-H., Steinbach, M., Hand, D. J., & Steinberg, D. (2007). Top 10 algorithms in data mining. Knowl. Inf. Syst., 14, 1-37.
-
(2007)
Knowl. Inf. Syst
, vol.14
, pp. 1-37
-
-
Wu, X.1
Kumar, V.2
Quinlan, J.R.3
Ghosh, J.4
Yang, Q.5
Motoda, H.6
McLachlan, G.J.7
Ng, A.8
Liu, B.9
Yu, P.S.10
Zhou, Z.-H.11
Steinbach, M.12
Hand, D.J.13
Steinberg, D.14
-
23
-
-
84884333463
-
A Comparative Study of Semi-naive Bayes Methods in Classification Learning
-
Zheng, F., & Webb, G. (2005). A Comparative Study of Semi-naive Bayes Methods in Classification Learning. Proc. of the 4th Australian Data Mining Conf. (pp. 141-156).
-
(2005)
Proc. of the 4th Australian Data Mining Conf
, pp. 141-156
-
-
Zheng, F.1
Webb, G.2
-
24
-
-
0034301677
-
Lazy Learning of Bayesian Rules
-
Zheng, Z., & Webb, G. I. (2000). Lazy Learning of Bayesian Rules. Mach. Learn., 41, 53-84.
-
(2000)
Mach. Learn
, vol.41
, pp. 53-84
-
-
Zheng, Z.1
Webb, G.I.2
|