This paper introduces an executable coordination specification language, which is able to handle prespecified ways as well as more flexible and generic ways of specifying coordina...
Tibor Bosse, Mark Hoogendoorn, Radu Serban, Jan Tr...
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
We present an incremental refinement algorithm for approximate compilation of constraint satisfaction models into multivalued decision diagrams (MDDs). The algorithm uses a vertex ...
Tarik Hadzic, John N. Hooker, Barry O'Sullivan, Pe...
We demonstrate an approach for inducing a tagger for historical languages based on existing resources for their modern varieties. Tags from Present Day English source text are pro...
Abstract In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of ...