Abstract. In this paper, we define Time Petri Nets with Inhibitor Hyperarcs (IHTPN) as an extension of T-time Petri nets where time is associated with transitions. In this model, ...
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
This paper examines some models of FSMs that can be implemented in dynamically and statically reconfigurable FPGAs. They enable circuits for the FSMs to be constructed in such a wa...
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
We study consistency, satisfiability, and validity problems for collectively model checking a set of views endowed with labelled transitions, hybrid constraints on states, and ato...