With the availability of huge databases cataloguing the various molecular “parts” of complex biological systems, researchers from multiple disciplines have focused on developi...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Abstract. As computer networks grow in size, both physically and geographically, more scalable solutions to network administration are becoming necessary. This need is amplified by...
Jacob W. Kallman, Pedrum Minaie, Jason Truppi, Ser...
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Abstract. The success of industrial-scale model checkers such as Uppaal [3] or NuSMV [12] relies on the efficiency of their respective symbolic state space representations. While d...