In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Over the last decades, a considerable amount of empirical knowledge about the efficiency of defect-detection techniques has been accumulated. Also a few surveys have summarised th...
The present paper presents the structure of a cross-linguistic database of production data. The database contains annotated texts collected from a sample of fifteen different langu...
The fastest learning automata (LA) algorithms currently available fall in the family of estimator algorithms introduced by Thathachar and Sastry [24]. The pioneering work of these ...
Generalization tasks are important for continual improvement to the design of an evolving code base, eliminating redundancy where it has accumulated. An important step in generali...