This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
In this paper, we consider a default strategy for fully Bayesian model determination for GLMMs. We address the two key issues of default prior specification and computation. In pa...
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
This paper proposes a novel method for gene selection. In the method, the gene regulation, an important mechanism of gene activities, is first introduced, and then the probabiliti...
Abstract. Probably one of the most difficult tasks in the development of a Service Oriented Architecture (SOA) is how to obtain well designed Web Services. In this work, we present...
Marta Ruiz, Pedro Valderas, Victoria Torres, Vicen...