Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
In my thesis I will address the problem of interoperation between information spaces on the web. We explain how this problem is different to traditional database integration scenar...
: As data and services are increasingly distributed in the network, rather than stored in a fixed location, one can imagine a scenario in which the Personal Computer, intended as a...
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
Signaling pathways are chains of interacting proteins, through which the cell converts a (usually) extracellular signal into a biological response. The number of known signaling p...
Nattakarn Ratprasartporn, Ali Cakmak, Gultekin &Ou...