AAAI
2006
13 years 6 months ago
2006
The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
AAAI
2004
13 years 6 months ago
2004
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
NIPS
2008
13 years 6 months ago
2008
With the increased availability of data for complex domains, it is desirable to learn Bayesian network structures that are sufficiently expressive for generalization while at the ...
IJCAI
2007
13 years 6 months ago
2007
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
IFIP12
2008
13 years 6 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
AI
2005
Springer
13 years 6 months ago
2005
Springer
Abstract. In this paper, we propose that the select operator in relational databases be adopted for incorporating evidence in Bayesian networks. This approach does not involve the ...
CAISE
2008
Springer
13 years 6 months ago
2008
Springer
This paper proposes the use Bayesian networks for the automatic merging of metamodels. The proposed Bayesian networks calculate the probability that a merge of two metamodel elemen...
BIBE
2008
IEEE
13 years 6 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
ATAL
2008
Springer
2008
Springer
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
13 years 6 months ago
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
FLAIRS
2007
13 years 6 months ago
2007
We present a description of two small audio/visual immersive installations. The main framework is an interactive structure that enables multiple participants to generate jazz impr...