The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Scientific texts domain keyword is one of the basic elements of the text high-level semantics acquisition, domain ontology building and the knowledge representation in semantic gr...
Xiangfeng Luo, Ning Fang, Weimin Xu, Sheng Yu, Kai...
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Enterprise applications can be structured as domains, where each domain contains objects that are replicated for fault tolerance, with the replication being managed by a fault tole...
Priya Narasimhan, Louise E. Moser, P. M. Melliar-S...
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...