Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Artificial Neural Networks are universal and highly flexible function approximators first used in the fields of cognitive science and engineering. In recent years, Neural Networks...
The model checking of applications of aspects is explained, by showing the stages and proof obligations when a collection of generic aspects (called a superimposition) is combined...
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
This paper describes a variant of the actor model suited to the development of multimedia systems. The actor model centers on non-overkilling concurrency and customizable constrai...