-
1
-
-
11244281417
-
-
IBM International Technical Support Organization, Austin, Texas, December
-
Ferreira, L., V. Bortis, J. Armstrong, A. Neukotter, M. Kendzierski, T. Masanobu, R. Bing-Wo, A. Adeeb, M. Ryo, O. Hernandaz, J. Magowan and N. Bieberstein, Introduction to Grid Computing with Globus, IBM International Technical Support Organization, Austin, Texas, December 2002.
-
(2002)
Introduction to Grid Computing with Globus
-
-
Ferreira, L.1
Bortis, V.2
Armstrong, J.3
Neukotter, A.4
Kendzierski, M.5
Masanobu, T.6
Bing-Wo, R.7
Adeeb, A.8
Ryo, M.9
Hernandaz, O.10
Magowan, J.11
Bieberstein, N.12
-
4
-
-
33646461737
-
-
School of Computer Sciences, USM, Malaysia
-
Haron, F., H.Y. Chan, G. C. Sodhy, H. A. Wahab and R. Hashim, Grid Performance Monitoring and Parallel Molecular Modeling, School of Computer Sciences, USM, Malaysia, 2002.
-
(2002)
Grid Performance Monitoring and Parallel Molecular Modeling
-
-
Haron, F.1
Chan, H.Y.2
Sodhy, G.C.3
Wahab, H.A.4
Hashim, R.5
-
5
-
-
0030211964
-
Bagging predictors
-
L. Breimen, "Bagging Predictors", Machine Learning, Vol 24 (2), 1996, pp. 123-140.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breimen, L.1
-
6
-
-
0031347022
-
An empirical evaluation of bagging and boosting
-
Providence, Rhode Island
-
R. Maclin and D. Opitz, "An Empirical Evaluation of Bagging and Boosting", The Fourteenth National Conference on Artificial Intelligence, Providence, Rhode Island, 1997, pp. 546 - 551.
-
(1997)
The Fourteenth National Conference on Artificial Intelligence
, pp. 546-551
-
-
Maclin, R.1
Opitz, D.2
-
7
-
-
0000551189
-
Popular ensemble methods: An empirical study
-
R. Maclin and D. Opitz, "Popular Ensemble Methods: An Empirical Study", Journal of Artificial Intelligence, Vol 11, 1999, pp. 169-198.
-
(1999)
Journal of Artificial Intelligence
, vol.11
, pp. 169-198
-
-
Maclin, R.1
Opitz, D.2
-
9
-
-
0025448521
-
The strength of weak learning
-
R.E. Schapire, "The strength of weak learning", Machine Learning, 5, 1990, pp. 197-227
-
(1990)
Machine Learning
, vol.5
, pp. 197-227
-
-
Schapire, R.E.1
-
10
-
-
0031361611
-
Machine learning research: Four current directions
-
T. G. Dietterich, "Machine Learning Research: Four Current Directions", AI Magazine, Vol 18(4), 1997, pp. 97-136.
-
(1997)
AI Magazine
, vol.18
, Issue.4
, pp. 97-136
-
-
Dietterich, T.G.1
-
11
-
-
0001963082
-
A short introduction to boosting
-
September
-
Y. Freud and R. E. Schapire, "A short introduction to boosting", Journal of Japanese Society for Artificial Intelligence, Vol 14(5), September 1999, pp. 771-780.
-
(1999)
Journal of Japanese Society for Artificial Intelligence
, vol.14
, Issue.5
, pp. 771-780
-
-
Freud, Y.1
Schapire, R.E.2
-
12
-
-
0036567392
-
Ensembling neural networks: Many could be better than all
-
Z-H. Zhou, J. Wu and W. Tang, "Ensembling Neural Networks: Many Could be Better than All", Artificial Intelligence, Vol 137 (1-2), 2002, pp. 239-263
-
(2002)
Artificial Intelligence
, vol.137
, Issue.1-2
, pp. 239-263
-
-
Zhou, Z.-H.1
Wu, J.2
Tang, W.3
-
13
-
-
11844299907
-
Combining regression estimators: GA-based selective neural network ensemble
-
Z-H. Zhou, J-X. Wu, W. Tang and Z-Q Chen, "Combining Regression Estimators: GA-based Selective Neural Network Ensemble", International Journal of Computational Intelligence and Applications, Vol 1(4), 2001, pp. 341-356
-
(2001)
International Journal of Computational Intelligence and Applications
, vol.1
, Issue.4
, pp. 341-356
-
-
Zhou, Z.-H.1
Wu, J.-X.2
Tang, W.3
Chen, Z.-Q.4
|