Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
Word searching and indexing in historical document collections is a challenging problem because, characters in these documents are often touching or broken due to degradation/agei...
—This paper introduces HOpiPn, the higher-order pi-calculus with passivation and name creation, and develops an equivalence theory for this calculus. Passivation [Schmitt and Ste...
This paper describes an approach to providing lexical information for natural language processing in unrestricted domains. A system of approximately 1200 morphological rules is us...
Background: Large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing met...
Norman E. Davey, Richard J. Edwards, Denis C. Shie...