Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
We propose a method for finding CRMs in a set of co-regulated genes. Each CRM consists of a set of binding sites of transcription factors. We wish to find CRMs involving the same t...
Tias Guns, Hong Sun, Kathleen Marchal, Siegfried N...
This paper introduces dual decomposition as a framework for deriving inference algorithms for NLP problems. The approach relies on standard dynamic-programming algorithms as oracl...
Alexander M. Rush, David Sontag, Michael Collins, ...
Despite the widespread deployment of client/server technology, there seem to be no tools currently available that are adequate for analyzing and tuning the performance of client/s...
Optimal program slicing determines for a statement S in a program whether or not S affects a specified set of statements, given that all conditionals in are interpreted as non-d...