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» Multiagent learning using a variable learning rate
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CIKM
2011
Springer
14 years 6 months ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 9 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
ATAL
2005
Springer
15 years 12 months ago
Matchmaking multi-party interactions using historical performance data
Matchmaking will be an important component of future agent and agent-like systems, such as the semantic web. Most research on matchmaking has been directed toward sophisticated ma...
David Lambert, David Robertson
ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
15 years 10 months ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
ATAL
2007
Springer
16 years 15 days ago
Effective tag mechanisms for evolving coordination
Tags or observable features shared by a group of similar agents are effectively used in real and artificial societies to signal intentions and can be used to infer unobservable ...
Matthew Matlock, Sandip Sen