Background: Information obtained from diverse data sources can be combined in a principled manner using various machine learning methods to increase the reliability and range of k...
Bolan Linghu, Evan S. Snitkin, Dustin T. Holloway,...
We present new results on a distributable changedetection method inspired by the natural immune system. A weakness in the original algorithm was the exponential cost of generating...
Patrik D'haeseleer, Stephanie Forrest, Paul Helman
An efficient speech synthesis method that uses subspace constraint in prosody is proposed. Conventional unit selection methods concatenate speech segments stored in database, tha...
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
This paper presents a general method for computing transient sensitivities using both the direct and adjoint methods in event driven controlled explicit simulation algorithms that...