We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
— We propose a novel approach to reducing energy consumption in sensor networks using a distributed adaptive signal processing framework and efficient algorithm 1 . While the to...
One purpose of empirical software engineering is to enable an understanding of factors that influence software development. Surveys are an appropriate empirical strategy to gather...
Teade Punter, Marcus Ciolkowski, Bernd G. Freimut,...
We present a perceptually designed hardwareaccelerated algorithm for generating unique background textures for distinguishing documents. To be recognizable, the texture should pro...