A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
This paper describes a Web-based English-Chinese concordance system, TotalRecall, developed to promote translation reuse and encourage authentic and idiomatic use in second langua...
Jian-Cheng Wu, Kevin C. Yeh, Thomas C. Chuang, Wen...
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...