It is a single logical and centrally managed database stored in multiple physical locations. In order to access data locally and manage data globally, a good ...
A Bayesian Network-Based Expert Query System for a Distributed. Database System. Mei-Ling Shyu. Shu-Ching Chen. University of Miami.
Bibliographic details on A Bayesian network-based expert query system for a distributed database system.
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Abstract Bayesian network are widely accepted as models for reasoning with un- certainty. In this chapter we focus on models that are created using domain ...
In this chapter, we focus on models that are created using domain expertise only. After a short review of Bayesian network models and common Bayesian network ...
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Distributions in a Bayesian network can be learned from data, or specified manually using expert opinion. ... Bayesian networks to query networks with thousands ...
Bayesian networks are widely accepted as models for reasoning with uncertainty. In this chapter, we focus on models that are created using domain expertise ...
Missing: query distributed
In this paper we present a majority-based method to learn Bayesian network structure from databases distributed over a peer-to-peer network. The method.
Abstract. We present a collective approach to learning a Bayesian network from distributed heterogenous data. We first learn a local Bayesian network at ...
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Bayesian networks (BNs) are graphical models representing uncertainty in causal discovery, and have been widely used in medical diagnosis and gene analysis ...