Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represe...
In service-oriented computing, services are dynamically built as an assembly of pre-existing, independently developed, network accessible services. Hence, predicting as much as pos...
Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for ...
We are developing a corpus-based approach for the prediction of help-desk responses from features in customers’ emails, where responses are represented at two levels of granular...