This article explains challenges that arise when humanitarian organizations want to coordinate their development activities by means of distributed information systems. It focuses...
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
The number of computational trust models has been increasing rapidly in recent years, yet their applications for automating trust evaluation are still limited. The main obstacle i...