Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
Abstract. A longstanding open problem is whether there exists a nonsyntactical model of the untyped -calculus whose theory is exactly the least -theory . In this paper we investiga...
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...
We study the problem of agents attempting to find quality service providers in a distributed environment. While referrals from other agents can be used to locate high-quality prov...
—With increasing spatial reuse of the radio spectrum, co-channel interference is becoming a dominant noise source and may severely degrade the communication performance of wirele...