In this poster, we propose a novel document summarization approach named Ontology-enriched M ulti-Document Summarization(OMS) for utilizing background knowledge to improve summari...
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
: Much effort in RTL design has been devoted to developing “push-button” types of tools. However, given the highly complex nature, and lack of control on RTL design, push-butt...
An important issue in text mining is how to make use of multiple pieces knowledge discovered to improve future decisions. In this paper, we propose a new approach to combining mult...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...