This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
It is well known that utterances convey a great deal of information about the speaker in addition to their semantic content. One such type of information consists of cues to the s...
The lack of lightweight communication channels and other technical and sociological difficulties make it hard for new members of a non-collocated software development team to lea...
Davor Cubranic, Gail C. Murphy, Janice Singer, Kel...
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...