Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
In the last years, several methodologies for ontology engineering have been proposed. Most of these methodologies guide the engineer from a first paper draft to an implemented
Future driver assistance systems will require highly accurate positioning. One way to achieve this is by using on-board sensors to measure the relative location of landmarks for w...
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We report here a number of results concerning the learnability of th...