搜索结果: 1-15 共查到“Bayesian Networks”相关记录19条 . 查询时间(0.093 秒)
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
peech Recognition Dynamic Bayesian Networks
2015/3/11
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks.
OCCLUSION DETECTION IN DIGITAL IMAGES THROUGH BAYESIAN NETWORKS
Occlusion Detection Digital Photogrammetry Bayesian Networks Landscape and Image Maps Geometric Modeling and Processing
2014/12/31
Occlusions are a major obstacle for those dealing with the problem of automatically finding conjugate point pairs in overlapping images. They lead to mismatches or uncorrelated areas or features in th...
USE OF BAYESIAN NETWORKS AS JUDGEMENT CALCULUS IN A KNOWLEDGE BASED IMAGE INTERPRETATION SYSTEM
Image Interpretation Semantic Net Bayesian Network Multitemporal Analysis
2014/12/31
The increasing amount of remotely sensed imagery from multiple platforms requires efficient analysis techniques. The presented image interpretation system tries to automate the analysis of multisensor...
Learning the Structure of Bayesian Networks with Constraint Satisfaction
Bayesian networks Constraint satisfaction Constraint-based Structure learning
2014/12/18
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model...
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
Hidden Feature Models Speech Recognition Dynamic Bayesian Networks
2014/11/27
In this paper, we investigate the use of dynamic Bayesian networks (DBNs) to explicitly represent models of hidden features,such as articulatory or other phonological features, for automatic speech re...
We propose a general Bayesian network model for application in a wide class of problems of therapy monitoring. We discuss the use of stochastic simulation as a computational approach to inference on t...
Scoring Bayesian Networks with Informative, Causal and Associative Priors
Scoring Bayesian Networks Informative Causal Associative Priors
2012/11/26
A significant theoretical advantage of search-and-score methods for learning Bayesian Networks is that they can accept informative prior beliefs for each possible network, thus complementing the data....
Learning Linear Bayesian Networks with Latent Variables
Linear Networks Bayesian Latent Variables
2012/11/23
This work considers the problem of learning linear Bayesian networks when some of the variables are unobserved. Identifiability and efficient recovery from low-order observable moments are established...
Modelling Entrepreneurial Attitudes in Women Entrepreneurs with Bayesian Networks
Entrepreneurship Attitudes Bayesian Networks Women Model Comparisons
2013/2/19
The entrepreneurial attitude model is nowadays getting more attention as a framework to explain and describe new business creation. In short, the attitude model posits that the entrepreneurial behavio...
Analysis of factors that influence hazardous material transportation accidents based on Bayesian networks: A case study in China
Hazardous materials (Hazmat) Transportation Bayesian networks Dempster–Shafer evidence theory Expectation–maximization algorithm
2012/4/14
Abstract
In this study, we applied Bayesian networks to prioritize the factors that influence hazardous material (Hazmat) transportation accidents. The Bayesian network structure was built based on e...
Consistent Model Selection of Discrete Bayesian Networks from Incomplete Data
Discrete Bayesian Networks Consistent Model Incomplete Data node-variables
2011/6/20
A maximum likelihood based model selection of discrete Bayesian
networks is considered. The model selection is performed through scoring
function S, which, for a given network G and n-sample Dn, is ...
Estimating Bayesian Networks for High-dimensional Data with Complex Mean Structure
Bayesian networks complex mean structure high-dimensionaldata regulatory networks
2010/3/10
The estimation of Bayesian networks given high-dimensional data sets,
in particular given gene expression data sets, has been the focus of much
recent research. While there are many methods availabl...
Using Bayesian networks to model watershed management decisions:an East Canyon Creek case study
Bayesian networks watershed management decisions East Canyon Creek
2009/12/4
An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorus management in the East Canyon watershed in Northe...
A Bayesian Networks Approach to Operational Risk
Operational Risk Complex Systems Bayesian Networks Time Series Value-at-Risk
2010/11/1
A system for Operational Risk management based on the computational paradigm of Bayesian Networks is presented. The algorithm allows the construction of a Bayesian Network targeted for each bank using...
Bayesian Networks and the Problem of Unreliable Instruments
Confirmation theory Bayesian Networks
2008/4/10
We appeal to the theory of Bayesian Networks to model different strategies for obtaining confirmation for a hypothesis from experimental test results provided by less than fully reliable instruments. ...