Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
There is a number of recent research lines addressing complex negotiations in highly rugged utility spaces. However, most of them focus on overcoming the problems imposed by the c...
The focus of this paper is on the design and use of a music score representation. The structure of the representation is discussed and illustrated with sample algorithms, includin...
As computing platforms become more and more complex, the task of optimizing performance critical codes becomes more challenging. Recently, more attention has been focused on automa...
The mobile robotics community has traditionally addressed motion planning and navigation in terms of steering decisions. However, selecting the best speed is also important – be...