Dynamic tree data structures maintain forests that change over time through edge insertions and deletions. Besides maintaining connectivity information in logarithmic time, they ca...
When computationally intensive tasks have to be carried out on trusted, but limited, platforms such as smart cards, it becomes necessary to compensate for the limited resources me...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
In functional programming, intermediate data structures are often used to “glue’) together small programs. Deforestation is a program transformation to remove these intermedia...
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...