Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Role Engineering is a security-critical task for systems using role-based access control (RBAC). Different role-mining approaches have been proposed that attempt to automatically ...