Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Several methods have been proposed in the literature for the local enumeration of dense references for arrays distributed by the CYCLIC(k) data-distributionin High Performance For...
Gerardo Bandera, Pablo P. Trabado, Emilio L. Zapat...
Mining association rule in event sequences is an important data mining problem with many applications. Most of previous studies on association rules are on mining intra-transaction...
— The urban transit routing problem (UTRP) for public transport systems involves finding a set of efficient transit routes to meet customer demands. The UTRP is an NPHard, high...
This paper addresses the problem of the real-time automatic transcription of a live music performance into a symbolic format. The source data are given by any music instrument or o...