Bayesian Network

Construction of a Bayesian network for a complex problem is a system engineering. Certain programmers must be followed.

The stability of object types is one bottleneck in BP, leading to its robustness less than naive Bayesian network.

Bayesian network classifier is one of the main research methods in data mining and KDD domain.

Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.

Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.

Bayesian network is a graphical model for probabilistic relationships among a set of variables.

A sub-pixel analysis algorithm using Bayesian network was proposed to deal with images with insufficient spectral information.

Bayesian network is a very effective tool to express uncertain knowledge and is used in many research fields widely.

This method can avoid the problems of depending on a large number of data with high quality in existing Bayesian network learning.

First, the momentum wheel's reliability model is built using various kind of prior information by Bayesian network learning algorithm.

BP neural network and Bayesian network are mature technology used in pattern recognition.

This paper integrated MOR (minimum overall risk rule) into Bayesian network classifiers, and proposed new credit scoring models.

In this module, we first use Bayesian network to obtain the preliminary results and then use some rules to produce the finally results.

Bayesian Network learning mainly includes structure learning and parameter learning.

An example of the Bayesian network used in the balance game is shown in Figure 6.

CNC lathe; intelligent fault-diagnosis; Bayesian Network; vibration analysis.

Artificial Neural Network (ANN) and Bayesian Network are two traditional machine learning methods.

Some improvement has been made on fault diagnosis of the current centralized Bayesian network model.

Bayesian network is simple, effective and easy constructed for classifying word sense.

The methods of causal analysis between discrete variables based on Bayesian network are of both low efficiency and restriction.

This paper introduced the Bayesian network and Dempster-Shafer evidence theory.

Presented an efficient hybrid heuristic SGS -EM- PACOB algorithm for learning Bayesian network with missing values.

In one embodiment, the machine learning algorithm generates a Bayesian network.

BP neural network's recognition accuracy and time consumption all more than Bayesian network, the accuracy 2% -5% higher.

Bayesian network is used in the diagnosis module, and the fault location could be achieved quickly.

Based on massive measurement data of body and historical cases, Bayesian network is combined with deviation diagnosis of body.

Risk assessment of accounts receivable based on Bayesian network provides a description of the map.

The study results suggest that Bayesian network will be a newly effective approach for remote sensing data change detection.

How to use Bayesian network to solve this kind of mixed uncertainty knowledge inference has become a research hotspot.

Secondly, an efficient algorithm FCLBN for learning Bayesian network from extremely small datasets is proposed.

Firstly, an initial Bayesian network structure is set up by using expert knowledge.

The experimental data shows that Bayesian network is fitter for solving the Chinese WSD than ANN.

Quite good result has been obtained in the prediction of silicon content in molten iron because of application of Bayesian network.

Learning style; Three-dimension model; Questionnaire validation; Individualized network curriculum; Bayesian network;

Improvement to a Dependency Analysis Based Bayesian Network Learning Algorithm and Experiments

Mixed scale and its application in study of Bayesian network structure

Application of Bayesian Network and its Probability Reasoning to Intelligent Tutoring System

Study of Determining Bayesian Network Topology Structures

Structure varied discrete dynamic Bayesian network and its inference algorithm

multi-feature; dynamic Bayesian network; Combination forecasting model; object tracking; model update;

A Study of Building a Student Agent Model in Intellectual Learning Environment by Using Bayesian Network

Bayesian Network Structure Learning and Its Applications

Privacy-Preserving Bayesian Network Learning on Distributed Heterogeneous Data

Bayesian Network Based Expert System for Damage Diagnosis of the Durability of the Reinforced Concrete

Direct calculation inference algorithm for discrete dynamic bayesian network

Bayesian Network Enhanced Prediction Based Multiple Facial Feature Tracking

Application of Bayesian network classification to remote sensing change detection

Bayesian Network and Its Applications for Device Fault Diagnosis

Application of bayesian network in reliability evaluation of power distribution system

Application of Bayesian Network to Aircraft Survivability Assessment

The application of Bayesian network model in database information classification

Application of Bayesian network in syndrome differentiation system of traditional Chinese medicine

An Effective Triangulation Algorithm for Bayesian Network Inference

Learning Bayesian Network Classifiers Restricted by Class Variable

Research on Explanation Function for Reason Conclusions with Bayesian Network

Bayesian Network Development and Its Prospect

Incremental Hybrid Bayesian Network with Noise Resistance Ability

On Information Fusion for Structural Soundness Appraisal in Bayesian Network

An Efficient Approach to Simulation Vector Generation Using Bayesian Network

Bayesian network; Relay protection; Fault diagnosis;

Bayesian Network Classifier and Its Application in CRM

Temporal Bayesian network and probability inference

Development and Prospect of Bayesian Network Structure Learning

Application of Bayesian Network in Maintenance Support Decision

Bayesian-network based Regression Tree Learning Algorithm

Application of Bayesian Network for Information Retrieval

Bayesian Network Theory Based Blind Source Separation from Time-Varying Mixture

Application of fuzzy Bayesian network to trend prediction of silicon content in molten iron

Bayesian Network Model for Fault Diagnosis of Hydropower Equipment

Design and realization of the fault diagnosis decision system for aircraft converter based on Bayesian network

Application of Bayesian Network in. NET Hyper Text Categorization

Research state and future trend of Bayesian network structure learning

Unsupervised Chinese Word Sense Disambiguation Based on Dependency Grammar Analysis and Bayesian Network

Modeling Air Combat Situation Assessment by Using Fuzzy Dynamic Bayesian Network

Application of bayesian network to predicting silicon content in hot metal

Research on Modeling with Dynamic Bayesian Network in Complex Systems

A Bayesian Network for Safety Assessment in Harbor Production Systems

Zhang, N. and Poole, D. (1996). Exploiting causal independence in Bayesian network inference. Journal of Artificial Intelligence Research 5:

A Simulation Algorithm for Bayesian Network Inference

Research on Learning the Hidden Variables of Hybrid Bayesian Network

A Bayesian network for implementing plan recognition

Learning Bayesian network structure with continuous variables based on local optimization

BAYESIAN Network for Intrusion Detection

Novel Method for Transformer Faults Integrated Diagnosis Based on Bayesian Network Classifier

An Improving Strength Pareto Evolutionary Algorithm Based on Bayesian Network with Decision Graphs

Audio-video continuous speech recognition and phone segmentation based on dynamic Bayesian network

Remote Sensing Monitoring of Soil Salinization Based on Bayesian Network Classification

The Simplified Expression of Bayesian Network

Extending TAN Classifiers Using Undirected Graphical Models Based on Bayesian Network Theory

Design and development of Bayesian network forecasting platform

Study on Hybrid Inversion Scheme under Bayesian Network

Subjective Bayesian Network Algorithm Based on Non-deterministic Knowledge

Inference Structure and Construction Algorithms of Bayesian Network Based on Junction Tree

Dynamic Linear Regression Modeling and Real-time Prediction Based on Bayesian Network and Neural Network

The Bayesian network of being used supporting decision

A Method for Reliability Assessment of Airplane Power Distribution System Based on Bayesian Network

A bayesian network approach to accident analysis

Method for reliability analysis based on Bayesian network under fuzzy environments

Learning discrete Bayesian network structures from data: based on kernel variables

Syndrome Differentiation System of Traditional Chinese Medicine Based on Bayesian Network

Study on Parameter Learning of Bayesian Network

Software project risk evaluation method based on object-oriented Bayesian network

Automatic Diagnosis of Malignant Degree of Brain Glioma Based on Bayesian Network

Formation mechanism analysis of aviation calamity based on Bayesian network

Population Drift Oriented Customer Segment Method Based on Multi-net Bayesian Network

The Bayesian network of being used forecasting

A Bayesian Network to Phase and to Recover Recombination Sites

Reliability evaluation for HVDC systems based on Bayesian network with multi-state nodes

Synthetic Fault Diagnosis Method of Power Transformer Based on Rough Set Theory and Bayesian Network

Method for Classifying Vehicles with Bayesian Network Based on Incomplete Data Sets

The Application of Bayesian Network in Causal Map

A Dynamic Bayesian Network Algorithm Based on Semi-Supervised Active Learning

Method of Aircraft Vulnerability Assessment Based on Bayesian Network

Research of Component Battle Damage Assessment Based on the Bayesian Network

Recognition Method of Radar Emitters based on Bayesian Network Classifiers

Component battle damage assessment model based on Bayesian network

The Design and Implement of the Intellectual IntrusionModel Based on Bayesian Network

A Selective Tree-Augmented Bayesian Network Classifier Based on Rough Set Theory

A Data Mining Method of Forecasting the Customer Churn in Telecom Company Based on Bayesian Network

Extended Bayesian network retrieval model based on synonyms

Learning Bayesian Network Structure Based on Nodes Ordering

Information Retrieval Based on Bayesian Network Model

Threat identification based on Bayesian network

A Traffic Accident Prediction Method Based on Bayesian Network Model

Power System Fault Diagnosis Approach Based on Bayesian Network

Bayesian Network for Data Mining

Study on Algorithm of Threat Level Assessment Based on Bayesian Network

Speaker recognition based on Bayesian network

An Inferential Way for Evaluation of Bridge Based on Bayesian Network

Research of Alert Correlation Based on Bayesian Network

Fault Diagnosis Expert System Based on Bayesian Network

The Study on Remote Sensing Data Classification Using Bayesian Network

On Quantitative Analysis of Fault Tree Based on Bayesian Network

A Radar Target Recognition Method Based on Bayesian Network

State prediction based on the dynamic Bayesian network

Extraction of Moving Objects Based on Bayesian Network

Power system fault diagnosis based on Bayesian network

A Market Forecast Algorithm Based on Bayesian Network

Engine Fault Diagnosis Based on Bayesian Network

Fault Diagnosis of Rotor System Based on Bayesian Network

On Uncertain Inference Based on the Bayesian Network

Learning of Bayesian network based on MCMC algorithm

Study on path planning of UCAV based on dynamic Bayesian network

Adjust Fire Goal with UAV based on Dynamic Bayesian Network

Research on Project PERT Based on Bayesian Network

A method of data rectification based on Bayesian network

The Model of BDAR Sequence Based on Bayesian Network