A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Measuring effort accurately and consistently across subjects in a programming experiment can be a surprisingly difficult task. In particular, measures based on self-reported data ...
Lorin Hochstein, Victor R. Basili, Marvin V. Zelko...
An adaptive computation maintains the relationship between its input and output as the input changes. Although various techniques for adaptive computing have been proposed, they r...
We present SQUIRREL, a stream-oriented programming framework for storage-centric sensor networks. The storagecentric paradigm—where storage operations prevail over communication...
We define the semantics of logic programs with (abstract) constraint atoms in a way closely tied to default logic. Like default logic, formulas in rules are evaluated using the cl...