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EMNLP
2006
15 years 7 months ago
Domain Adaptation with Structural Correspondence Learning
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
John Blitzer, Ryan T. McDonald, Fernando Pereira
FLAIRS
2008
15 years 8 months ago
Adapting Decision Trees for Learning Selectional Restrictions
This paper describes the implementation of a system that automatically learns selectional restrictions for individual senses of polysemous verbs from subject-object relationships....
Sean R. Szumlanski, Fernando Gomez
ATAL
2008
Springer
15 years 8 months ago
Using adaptive consultation of experts to improve convergence rates in multiagent learning
In this paper we study the use of experts algorithms in a multiagent setting. In this paper we allow agents to use multiple experts and explore different experts algorithms that a...
Greg Hines, Kate Larson
ATAL
2009
Springer
16 years 23 days ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom
AIIDE
2009
15 years 3 months ago
IMPLANT: An Integrated MDP and POMDP Learning AgeNT for Adaptive Games
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
Chek Tien Tan, Ho-Lun Cheng