-
2
-
-
0032645080
-
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
-
Bauer, E., & Kohavi, R. (1999). An empirical comparison of voting classification algorithms: Bagging, boosting, and variants. Machine Learning, 36(1-2), 105-139.
-
(1999)
Machine Learning
, vol.36
, Issue.1-2
, pp. 105-139
-
-
Bauer, E.1
Kohavi, R.2
-
4
-
-
0030211964
-
Bagging predictors
-
Breiman, L. (1996a). Bagging predictors. Machine Learning, 24(2), 123-140.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
5
-
-
0030196364
-
Stacked regressions
-
Breiman, L. (1996b). Stacked regressions. Machine Learning, 24(1), 49-64.
-
(1996)
Machine Learning
, vol.24
, Issue.1
, pp. 49-64
-
-
Breiman, L.1
-
6
-
-
0034276320
-
Randomizing outputs to increase prediction accuracy
-
Breiman, L. (2000). Randomizing outputs to increase prediction accuracy. Machine Learning, 40(3), 229-242.
-
(2000)
Machine Learning
, vol.40
, Issue.3
, pp. 229-242
-
-
Breiman, L.1
-
7
-
-
0035478854
-
Random forests
-
Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5-32.
-
(2001)
Machine Learning
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
8
-
-
52249107004
-
On strength and correlation in random forests
-
San Francisco, CA. American Statistical Association
-
Buttrey, S. E., & Kobayashi, I. (2003). On strength and correlation in random forests. In Proceedings of the 2003 Joint Statistical Meetings, Section on Statistical Computing, San Francisco, CA. American Statistical Association.
-
(2003)
Proceedings of the 2003 Joint Statistical Meetings, Section on Statistical Computing
-
-
Buttrey, S.E.1
Kobayashi, I.2
-
9
-
-
33646403804
-
PERT - perfect random tree ensembles
-
Costa Mesa, Orange Country, California
-
Cutler, A., & Zhao, G. (2001). PERT - perfect random tree ensembles. In Computing Science and Statistics, Vol. 33, pp. 490-497, Costa Mesa, Orange Country, California.
-
(2001)
Computing Science and Statistics
, vol.33
, pp. 490-497
-
-
Cutler, A.1
Zhao, G.2
-
10
-
-
29644438050
-
Statistical comparisons of classifiers over multiple data sets
-
Demšar, J. (2006). Statistical comparisons of classifiers over multiple data sets. Journal Machine Learning Research, 7, 1-30.
-
(2006)
Journal Machine Learning Research
, vol.7
, pp. 1-30
-
-
Demšar, J.1
-
11
-
-
0034250160
-
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
-
Dietterich, T. G. (2000). An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 40(2), 139-157.
-
(2000)
Machine Learning
, vol.40
, Issue.2
, pp. 139-157
-
-
Dietterich, T.G.1
-
12
-
-
9444240308
-
On the optimality of probability estimation by random decision trees
-
California, USA. AAAI Press, The MIT Press
-
Fan, W. (2004). On the optimality of probability estimation by random decision trees. In Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence (AAAI), pp. 336-341, California, USA. AAAI Press / The MIT Press.
-
(2004)
Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Applications of Artificial Intelligence (AAAI)
, pp. 336-341
-
-
Fan, W.1
-
13
-
-
33750313729
-
Is random model better? on its accuracy and efficiency
-
Fan, W., Wang, H., Yu, P. S., & Ma, S. (2003). Is random model better? on its accuracy and efficiency. ICDM '03: Proceedings of the Third IEEE International Conferenceon Data Mining, 51-58.
-
(2003)
ICDM '03: Proceedings of the Third IEEE International Conferenceon Data Mining
, pp. 51-58
-
-
Fan, W.1
Wang, H.2
Yu, P.S.3
Ma, S.4
-
14
-
-
33646430006
-
Extremely randomized trees
-
Geurts, P., Ernst, D., & Wehenkel, L. (2006). Extremely randomized trees. Machine Learning, 63(1), 3-42.
-
(2006)
Machine Learning
, vol.63
, Issue.1
, pp. 3-42
-
-
Geurts, P.1
Ernst, D.2
Wehenkel, L.3
-
15
-
-
0003684449
-
-
Springer-Verlag
-
Hastie, T., Tibshirani, R., & Friedman, J. (2001). The elements of statistical learning : Data mining, Inference, and Prediction. Springer-Verlag.
-
(2001)
The elements of statistical learning : Data mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
18
-
-
33745769769
-
Variable randomness in decision tree ensembles
-
Singapore
-
Liu, F. T., & Ting, K. M. (2006). Variable randomness in decision tree ensembles. In Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference (PAKDD 2006), pp. 81-90, Singapore.
-
(2006)
Advances in Knowledge Discovery and Data Mining, 10th Pacific-Asia Conference (PAKDD 2006)
, pp. 81-90
-
-
Liu, F.T.1
Ting, K.M.2
-
19
-
-
26944434312
-
Maximizing tree diversity by building complete-random decision trees
-
Hanoi, Vietnam
-
Liu, F. T., Ting, K. M., & Fan, W. (2005). Maximizing tree diversity by building complete-random decision trees. In Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference (PAKDD 2005), pp. 605-610, Hanoi, Vietnam.
-
(2005)
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference (PAKDD 2005)
, pp. 605-610
-
-
Liu, F.T.1
Ting, K.M.2
Fan, W.3
-
23
-
-
22944453097
-
Improving random forests
-
Boulicaut, J.-F, Esposito, E, Giannotti, F, & Pedreschi, D, Eds, Proceedings of The 15th European Conference on Machine Learning ECML 2004, of, Pisa, Italy. Springer
-
Robnik-Šikonja, M. (2004). Improving random forests.. In Boulicaut, J.-F, Esposito, E, Giannotti, F., & Pedreschi, D. (Eds.), Proceedings of The 15th European Conference on Machine Learning (ECML 2004), Vol. 3201 of Lecture Notes in Computer Science, pp. 359-370, Pisa, Italy. Springer.
-
(2004)
Lecture Notes in Computer Science
, vol.3201
, pp. 359-370
-
-
Robnik-Šikonja, M.1
-
25
-
-
0034247206
-
Multiboosting: A technique for combining boosting and wagging
-
Webb, G. I. (2000). Multiboosting: A technique for combining boosting and wagging. Machince Learning, 40(2), 159-196.
-
(2000)
Machince Learning
, vol.40
, Issue.2
, pp. 159-196
-
-
Webb, G.I.1
-
26
-
-
4344706336
-
Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques
-
Webb, G. I., & Zheng, Z. (2004). Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques. IEEE Transactions on Knowledge and Data Engineering, 16(8), 980-991.
-
(2004)
IEEE Transactions on Knowledge and Data Engineering
, vol.16
, Issue.8
, pp. 980-991
-
-
Webb, G.I.1
Zheng, Z.2
|