We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
We are investigating how to empower nonprofit community organizations to develop the information technology management practices required to carry out their civic goals. We highli...
Cecelia Merkel, Umer Farooq, Lu Xiao, Craig H. Gan...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...