Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
This paper contributes to the analysis of the question how altruistic behaviour can be in an agent’s own interest. The question is addressed by involving a temporal dimension in ...
Tibor Bosse, Martijn C. Schut, Jan Treur, David We...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...
Phoebus Chen, Chithrupa Ramesh, Karl Henrik Johans...
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...