JMLR
2000
13 years 4 months ago
2000
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
CORR
2004
Springer
13 years 4 months ago
2004
Springer
Abstract. This paper presents two different efficiency-enhancement techniques for probabilistic model building genetic algorithms. The first technique proposes the use of a mutatio...
AAI
2002
13 years 4 months ago
2002
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses...
SIGMETRICS
2008
ACM
13 years 5 months ago
2008
ACM
Gossip protocols have been proposed as a robust and efficient method for disseminating information throughout dynamically changing networks. We present an analysis of a gossip pro...
SIGMETRICS
2008
ACM
13 years 5 months ago
2008
ACM
Probabilistic model checking is a formal verification framework for systems which exhibit stochastic behaviour. It has been successfully applied to a wide range of domains, includ...
SIGIR
2008
ACM
13 years 5 months ago
2008
ACM
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
JCS
2006
13 years 5 months ago
2006
We present three case studies, investigating the use of probabilistic model checking to automatically analyse properties of probabilistic contract signing protocols. We use the pr...
IJBRA
2006
13 years 5 months ago
2006
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
COGSCI
2008
13 years 5 months ago
2008
This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. (A "melody" is def...
BMCBI
2010
13 years 5 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...