Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
This paper describes the system architecture development process in an international ICT company, which is building a comprehensive e-business system for its customers. The implem...
We present a tool for checking the sufficient completeness of linear, order-sorted equational specifications modulo associativity, commutativity, and identity. Our tool treats this...
— In this paper we study the rational balance between local and global policies in virtual communities of agents. To study this problem we use a logical framework for modelling o...
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...