-
1
-
-
0004267735
-
-
Dordrecht: Kluwer Academic Publishers
-
D. Aha, Lazy Learning, Dordrecht: Kluwer Academic Publishers, 1997.
-
(1997)
Lazy Learning
-
-
Aha, D.1
-
2
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
E. Bauer, and R. Kohavi. An empirical comparison of voting classification algorithms: Bagging, boosting, and variants, Machine Learning, 36 (1999): 105-139.
-
(1999)
Machine Learning
, vol.36
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
3
-
-
0003408496
-
-
Irvine, CA: University of California, Department of Information and Computer Science
-
C.L. Blake and C.J. Merz, UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science (1998).
-
(1998)
UCI Repository of Machine Learning Databases
-
-
Blake, C.L.1
Merz, C.J.2
-
4
-
-
0030211964
-
Bagging predictors
-
L. Breiman, Bagging Predictors. Machine Learning, 24 (1996): 123-140.
-
(1996)
Machine Learning
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
5
-
-
0031269184
-
On the optimality of the simple Bayesian classifier under zero-one loss
-
P. Domingos and M. Pazzani, On the optimality of the simple Bayesian classifier under zero-one loss, Machine Learning, 29(1997): 103-130.
-
(1997)
Machine Learning
, vol.29
, pp. 103-130
-
-
Domingos, P.1
Pazzani, M.2
-
9
-
-
21744462998
-
On bias, variance, 0/1-loss and curse-of-dimensionality
-
J. H. Friedman, On bias, variance, 0/1-loss and curse-of-dimensionality. Data Mining and Knowledge Discovery, 1(1997): 55-77.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 55-77
-
-
Friedman, J.H.1
-
12
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. John, Wrappers for feature subset selection, Artificial Intelligence, 2(1997): 273-324.
-
(1997)
Artificial Intelligence
, vol.2
, pp. 273-324
-
-
Kohavi, R.1
John, G.2
-
16
-
-
0008155075
-
Searching for dependencies in Bayesian classifiers
-
Lecture Notes in Statistics, Springer-Verlag: New York
-
M. Pazzani, Searching for dependencies in Bayesian classifiers. Artificial Intelligence and Statistics IV, Lecture Notes in Statistics, Springer-Verlag: New York, 1997.
-
(1997)
Artificial Intelligence and Statistics IV
-
-
Pazzani, M.1
-
17
-
-
0001171722
-
Using sparseness and analytic QP to speed training of support vector machines
-
M. S. Kearns, S. A. Solla, and D. A. Cohn (Eds.), MA: MIT Press
-
J. Platt, Using sparseness and analytic QP to speed training of support vector machines. In M. S. Kearns, S. A. Solla, and D. A. Cohn (Eds.), Advances in neural information processing systems 11, MA: MIT Press, 1999.
-
(1999)
Advances in Neural Information Processing Systems
, vol.11
-
-
Platt, J.1
-
20
-
-
0242498509
-
Feature selection for the Naive Bayesian classifier using decision trees
-
C. Ratanamahatana and D. Gunopulos, Feature Selection for the Naive Bayesian Classifier using Decision Trees, Applied Artificial Intelligence, 17 (2003): 475-487.
-
(2003)
Applied Artificial Intelligence
, vol.17
, pp. 475-487
-
-
Ratanamahatana, C.1
Gunopulos, D.2
-
22
-
-
27144463192
-
On comparing classifiers: Pitfalls to avoid and a recommended approach
-
S. Salzberg, On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach, Data Mining and Knowledge Discovery, 1(1997): 317-328.
-
(1997)
Data Mining and Knowledge Discovery
, vol.1
, pp. 317-328
-
-
Salzberg, S.1
-
24
-
-
84947742420
-
Improving the performance of boosting for Naive Bayesian classification
-
N. Zhong and L. Zhou (Eds.): PAKDD'99
-
K. Ting and Z. Zheng,. Improving the Performance of Boosting for Naive Bayesian Classification, N. Zhong and L. Zhou (Eds.): PAKDD'99, LNAI 1574, pp. 296-305, 1999.
-
(1999)
LNAI
, vol.1574
, pp. 296-305
-
-
Ting, K.1
Zheng, Z.2
-
25
-
-
78650176398
-
Feature selection for ensembles of simple Bayesian classifiers
-
Lyon, June 27-29
-
Tsymbal, S. Puuronen and D. Patterson, Feature Selection for Ensembles of Simple Bayesian Classifiers, In Proceedings of ISMIS (2002): 592-600, Lyon, June 27-29.
-
(2002)
Proceedings of ISMIS
, pp. 592-600
-
-
Tsymbal1
Puuronen, S.2
Patterson, D.3
-
27
-
-
0034301677
-
Lazy learning of Bayesian rules
-
Z. Zheng, and G.I. Webb, Lazy learning of Bayesian rules. Machine Learning, 41 (2000): 53-84
-
(2000)
Machine Learning
, vol.41
, pp. 53-84
-
-
Zheng, Z.1
Webb, G.I.2
|