We introduce a simple aggregate claims model, which is able to take into account a continuous range of positive dependence between independence and comonotone dependence. It is ba...
Stochastic orders can be applied to Markov reward models and used to aggregate models, while introducing a bounded error. Aggregation reduces the number of states in a model, miti...
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...
Judgment aggregation studies how agent opinions on logically interconnected propositions can be mapped into a collective judgment on the same propositions, and is plagued by impos...
A strong candidate for the future Internet core is optical packet-switched (OPS) network. In this paper, we study the impact of mechanisms as employed in OPS networks on the perfo...