In a previous work, we developed a quasi-efficient maximum likelihood approach for blindly separating stationary, temporally correlated sources modeled by Markov processes. In this...
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
This paper discusses ongoing work towards a theoretical basis intended to facilitate the development of self-regulating adaptive systems. Self-regulation refers to the capacity of...
E-blended learning as a new methodology will be explained. E-blended learning scenario for distance learners will include live sessions. During the last years we developed e-learn...
We study the dynamics of the Naming Game [Baronchelli et al., (2006) J. Stat. Mech.: Theory Exp. P06014] in empirical social networks. This stylized agentbased model captures essen...