: This paper describes the development of neural network models for noise reduction. The networks used to enhance the performance of modeling captured signals by reducing the effec...
We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each ...
Abstract. In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecifie...
Abstract. The Agent Modeling Language (AML) is a semi-formal visual modeling language, specified as an extension to UML 2.0. It is a consistent set of modeling constructs designed...
Cooperative computing is becoming inevitable with the emerging of service-oriented computing and GRID becoming a ubiquitous computing resource. It is widely recognized that agent t...