Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Abstract. The increasing complexity of today’s embedded systems applications imposes the requirements and constraints of distributed, heterogeneous subsystem interaction to softw...
Track 2 - Modeling and Abstraction of Services Process Session Chair: Dynamic Service Invocation Control in Service Composition Environments (SCC2010-2004) ...........................
Abstract. Large-scale distributed computing applications require concurrent programming models that support modular and compositional software development. The actor model supports...
Wei-Jen Wang, Carlos A. Varela, Fu-Hau Hsu, Cheng-...