-
1
-
-
60449117479
-
-
http://www.aislive.com.
-
-
-
-
2
-
-
60449091797
-
-
http://www.healthagents.com.
-
-
-
-
4
-
-
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.
-
(1999)
Machine Learning
, vol.36
-
-
Bauer, E.1
Kohavi, R.2
-
5
-
-
0442289065
-
Survey of Clustering Data Mining Techniques
-
Technical Report, Accrue Software, 2002
-
P. Berkhin. Survey of Clustering Data Mining Techniques, Technical Report, Accrue Software, 2002.
-
-
-
Berkhin, P.1
-
7
-
-
0038461312
-
-
N. Chawla and S. E. abd L. O. Hall. Creating ensembles of classifiers. In Proceedings of ICDM 2001, pages 580-581, San Jose, CA, USA, 2001.
-
N. Chawla and S. E. abd L. O. Hall. Creating ensembles of classifiers. In Proceedings of ICDM 2001, pages 580-581, San Jose, CA, USA, 2001.
-
-
-
-
8
-
-
29144531645
-
Model Averaging for Prediction with Discrete Bayesian Networks
-
D. Dash and G. F. Cooper. Model Averaging for Prediction with Discrete Bayesian Networks. Journal of Machine Learning Research, 5:1177-1203, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1177-1203
-
-
Dash, D.1
Cooper, G.F.2
-
11
-
-
0042996871
-
A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing
-
J. Ghosh, A. Strehl, and S. Merugu. A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing. In NSF Workshop on Next Generation Data Mining, 99-108, 2002.
-
(2002)
NSF Workshop on Next Generation Data Mining
, vol.99-108
-
-
Ghosh, J.1
Strehl, A.2
Merugu, S.3
-
12
-
-
0040068414
-
Coactive Learning for Distributed Data Mining
-
New York, NY, August
-
D. L. Grecu and L. A. Becker. Coactive Learning for Distributed Data Mining. In Proceedings of KDD-98, pages 209-213, New York, NY, August 1998.
-
(1998)
Proceedings of KDD-98
, pp. 209-213
-
-
Grecu, D.L.1
Becker, L.A.2
-
13
-
-
1142305142
-
Agent-based distributed data mining: The KDEC scheme
-
AgentLink, number in, Springer
-
M. Klusch, S. Lodi, and G. Moro. Agent-based distributed data mining: The KDEC scheme. In AgentLink, number 2586 in LNCS. Springer, 2003.
-
(2003)
LNCS
, vol.2586
-
-
Klusch, M.1
Lodi, S.2
Moro, G.3
-
14
-
-
0004255908
-
-
McGraw-Hill, New York
-
T. M. Mitchell. Machine Learning, pages 29-36. McGraw-Hill, New York, 1997.
-
(1997)
Machine Learning
, pp. 29-36
-
-
Mitchell, T.M.1
-
15
-
-
31844455586
-
Recycling Data for Multi-Agent Learning
-
S. Ontanon and E. Plaza. Recycling Data for Multi-Agent Learning. In Proc. of ICML-05, 2005.
-
(2005)
Proc. of ICML-05
-
-
Ontanon, S.1
Plaza, E.2
-
16
-
-
26444601262
-
Cooperative multi-agent learning: The state of the art
-
L. Panait and S. Luke. Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11(3):387-434, 2005.
-
(2005)
Autonomous Agents and Multi-Agent Systems
, vol.11
, Issue.3
, pp. 387-434
-
-
Panait, L.1
Luke, S.2
-
17
-
-
24344497209
-
Distributed Data Mining: Algorithms, Systems, and Applications. In N. Ye, editor
-
B. Park and H. Kargupta. Distributed Data Mining: Algorithms, Systems, and Applications. In N. Ye, editor, Data Mining Handbook, pages 341-358, 2002.
-
(2002)
Data Mining Handbook
, pp. 341-358
-
-
Park, B.1
Kargupta, H.2
-
18
-
-
0030368639
-
Scaling up: Distributed machine learning with cooperation
-
AAAI Press
-
F. J. Provost and D. N. Hennessy. Scaling up: Distributed machine learning with cooperation. In Proc. of AAAI-96, pages 74-79. AAAI Press, 1996.
-
(1996)
Proc. of AAAI-96
, pp. 74-79
-
-
Provost, F.J.1
Hennessy, D.N.2
-
19
-
-
85031805477
-
Extending learning to multiple agents: Issues and a model for multi-agent machine learning (ma-ml)
-
Y. Kodratoff, editor, Springer-Verlag
-
S. Sian. Extending learning to multiple agents: Issues and a model for multi-agent machine learning (ma-ml). In Y. Kodratoff, editor, Machine Learning - EWSL-91, pages 440-456. Springer-Verlag, 1991.
-
(1991)
Machine Learning - EWSL-91
, pp. 440-456
-
-
Sian, S.1
-
20
-
-
0019180974
-
The contract-net protocol: High-level communication and control in a distributed problem solver
-
R. Smith. The contract-net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on Computers, C-29(12):1104-1113, 1980.
-
(1980)
IEEE Transactions on Computers
, vol.C-29
, Issue.12
, pp. 1104-1113
-
-
Smith, R.1
-
21
-
-
85172423269
-
Jam: Java Agents for Meta-Learning over Distributed Databases
-
USA
-
S. J. Stolfo, A. L. Prodromidis, S. Tselepis, W. Lee, D. W. Fan, and P. K. Chan. Jam: Java Agents for Meta-Learning over Distributed Databases. In Proc. of the KDD-97, pages 74-81, USA, 1997.
-
(1997)
Proc. of the KDD-97
, pp. 74-81
-
-
Stolfo, S.J.1
Prodromidis, A.L.2
Tselepis, S.3
Lee, W.4
Fan, D.W.5
Chan, P.K.6
-
22
-
-
33750973920
-
-
J. Tožička, M. Jakob, and M. Pěchouče;ek. Market-Inspired Approach to Collaborative Learning. In Cooperative Information Agents X (CIA 2006), 4149 of LNCS, pages 213-227. Springer, 2006.
-
J. Tožička, M. Jakob, and M. Pěchouče;ek. Market-Inspired Approach to Collaborative Learning. In Cooperative Information Agents X (CIA 2006), volume 4149 of LNCS, pages 213-227. Springer, 2006.
-
-
-
-
24
-
-
0031702577
-
A Multiagent Perspective of Parallel and Distributed Machine Learning
-
G. Weiß. A Multiagent Perspective of Parallel and Distributed Machine Learning. In Proceedings of Agents'98, pages 226-230, 1998.
-
(1998)
Proceedings of Agents'98
, pp. 226-230
-
-
Weiß, G.1
|