On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
Helmut Grabner, Horst Bischof, Jan Sochman, Jiri M...
Security vendors are facing a serious problem of defeating the complexity of malwares. With the popularity and the variety of zeroday malware over the Internet, generating their si...
Abstract. The perceptron predictor is a highly accurate branch predictor. Unfortunately this high accuracy comes with high complexity. The high complexity is the result of the larg...
As the complexity of nowadays systems continues to grow, we are moving away from creating individual components from scratch, toward methodologies that emphasize composition of re...
Radu Marculescu, Jan M. Rabaey, Alberto L. Sangiov...
Cooperative negotiation is proved to be an effective paradigm to solve complex dynamic multi-objective problems in which each objective is associated to an agent. When the multi-o...