 | 2009 |
|---|
| 8 |       | Ioannis Partalas,
Grigorios Tsoumakas,
Konstantinos Tzevanidis,
Ioannis P. Vlahavas:
Transferring experience in reinforcement learning through task decomposition.
AAMAS (2) 2009: 1193-1194 |
| 7 | | Ioannis Partalas,
Grigorios Tsoumakas,
Ioannis P. Vlahavas:
Pruning an ensemble of classifiers via reinforcement learning.
Neurocomputing 72(7-9): 1900-1909 (2009) |
| 2008 |
|---|
| 6 | | Ioannis Partalas,
Grigorios Tsoumakas,
Ioannis P. Vlahavas:
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
ECAI 2008: 117-121 |
| 5 | | Ioannis Partalas,
Georgios Paliouras,
Ioannis P. Vlahavas:
Reinforcement Learning with Classifier Selection for Focused Crawling.
ECAI 2008: 759-760 |
| 4 | | Ioannis Partalas,
Grigorios Tsoumakas,
Evaggelos V. Hatzikos,
Ioannis P. Vlahavas:
Greedy regression ensemble selection: Theory and an application to water quality prediction.
Inf. Sci. 178(20): 3867-3879 (2008) |
| 3 | | Ioannis Partalas,
Ioannis Feneris,
Ioannis P. Vlahavas:
A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion.
International Journal on Artificial Intelligence Tools 17(5): 945-962 (2008) |
| 2007 |
|---|
| 2 | | Ioannis Partalas,
Ioannis Feneris,
Ioannis P. Vlahavas:
Multi-agent Reinforcement Learning Using Strategies and Voting.
ICTAI (2) 2007: 318-324 |
| 2006 |
|---|
| 1 | | Ioannis Partalas,
Grigorios Tsoumakas,
Ioannis Katakis,
Ioannis P. Vlahavas:
Ensemble Pruning Using Reinforcement Learning.
SETN 2006: 301-310 |
