Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Instruction and data address traces are widely used by computer designers for quantitative evaluations of new architectures and workload characterization, as well as by software de...
Milena Milenkovic, Aleksandar Milenkovic, Martin B...
, reproductive value, soft selectionAbstract Structural complexity characterizes our representations of dissipative structures. As a mechanistic concept, when referred to natural s...
This paper concerns the characterization of clouds on meteorological satellite image sequences through points trajectories. These temporal curves can be computed from the result o...
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...