We present an efficient algorithm for the redundancy elimination problem: Given an underspecified semantic representation (USR) of a scope ambiguity, compute an USR with fewer mut...
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
Traditionally, the emphasis among computer scientists has been on the more rigorous and theoretical modes of worstcase and average-case analysis of algorithms. However, theoretica...
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
We give a forbidden substructure characterization of set families that have the consecutive-ones property, and a linear time algorithm to find the forbidden substructure if a set ...