We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
We show that there is a direct relation between the maximum length of the keys extracted from biometric data and the error rates of the biometric system. The length of the bio-key...
Ileana Buhan, Jeroen Doumen, Pieter H. Hartel, Ray...
Abstract. The goal of a trust-based recommendation system is to generate personalized recommendations from known opinions and trust relationships. Prior work introduced the axiomat...
: This paper presents HyROOM, a proposal for an extension of UML-like languages by continuous activities for the specification of mixed discrete-continuous, or hybrid, systems. It...
Thomas Stauner, Alexander Pretschner, Istran P&eac...