Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of how to efficiently approximate the post...
Information flow controls can be used to protect both data confidentiality and data integrity. The certification of the security degree of a program that runs in untrusted envi...
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...
Jackal is a fine-grained distributed shared memory implementation of the Java programming language. Jackal implements Java’s memory model and allows multithreaded Java programs...
Ronald Veldema, Rutger F. H. Hofman, Raoul Bhoedja...