We present a simple, effective generalisation of variable order Markov
models to full online Bayesian estimation. The mechanism used is close
to that employed in context tree wei...
Abstract. Web services are increasingly being used in business critical environments, enabling uniform access to services provided by distinct parties. In these environments, an op...
Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...
This paper will describe the architecture of a compiler which will convert an untimed C description of a set of floating point expressions into a synthesizable datapath optimized ...
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...