Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
There is an establishing trend towards the socialization of the web. Virtual communities are becoming very popular web spaces for collaboration and knowledge sharing. However, stu...
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Abstract. We propose a language, called Charon, for modular specification of interacting hybrid systems. For hierarchical description of the system architecture, Charon supports bu...
Rajeev Alur, Radu Grosu, Yerang Hur, Vijay Kumar, ...