In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
Government institutions, businesses and individual members of society - at least in the developed world are increasingly required to become computer literate and knowledgeable abo...
Colin C. Charlton, Ian Finch, Janet Little, Irene ...
In this paper, we present a method that automatically constructs a Named Entity (NE) tagged corpus from the web to be used for learning of Named Entity Recognition systems. We use...
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
This paper presents an approach for the automatic acquisition of qualia structures for nouns from the Web and thus opens the possibility to explore the impact of qualia structures...