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AI
2001
Springer
15 years 7 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
ISMIR
2001
Springer
100views Music» more  ISMIR 2001»
15 years 6 months ago
Efficient Multidimensional Searching Routines
The problem of Music Information Retrieval can often be formalized as “searching for multidimensional trajectories”. It is well known that string-matching techniques provide r...
Josh Reiss
JAR
2011
112views more  JAR 2011»
14 years 9 months ago
A Framework for Certified Boolean Branch-and-Bound Optimization
We consider optimization problems of the form (S, cost), where S is a clause set over Boolean variables x1 . . . xn, with an arbitrary cost function cost: Bn → R, and the aim is ...
Javier Larrosa, Robert Nieuwenhuis, Albert Olivera...
ENTCS
2006
120views more  ENTCS 2006»
15 years 2 months ago
Timers for Distributed Systems
We deal with temporal aspects of distributed systems, introducing and studying a new model called timed distributed -calculus. This model extends distributed -calculus with timers...
Gabriel Ciobanu, Cristian Prisacariu
PVLDB
2010
116views more  PVLDB 2010»
14 years 9 months ago
Computing Closed Skycubes
In this paper, we tackle the problem of efficient skycube computation. We introduce a novel approach significantly reducing domination tests for a given subspace and the number of...
Chedy Raïssi, Jian Pei, Thomas Kister