We present a concept to use off-line learning approaches to achieve on-line learning of cooperative behavior of agents and instantiate this concept for evolutionary learning with ...
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
This paper presents a new approach to the task of passive protocol tracing. The method called FollowSM for the first time meets all requirements of practical in-field use, inclu...
Code Mobility brings the possibility of building distributed systems better suited to a range of application areas. While platforms supporting Code Mobility are already in use, su...