In this paper we describe a generic library of problemsolving methods (PSMs) for scheduling applications. Although, some attempts have been made in the past at developing librarie...
Dnyanesh G. Rajpathak, Enrico Motta, Zdenek Zdr&aa...
Field usability research involves observing people in their own environments—for example, workplaces, homes, and schools—to learn their normal or natural behavior. Through fie...
Kernel-based learning (e.g., Support Vector Machines) has been successfully applied to many hard problems in Natural Language Processing (NLP). In NLP, although feature combinatio...
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...