Improving algorithms for structure learning in Bayesian Networks using a new implicit score

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Expert systems with applications

• Publication date

  2010-07-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.eswa.2010.02.065
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Causal inference in biomolecular pathways using a Bayesian network approach and an Implicit method.

  2008cited by this paper
• SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis

  2008cited by this paper
• Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm

  2008influential reference
• Learning Bayesian networks

  2007cited by this paper
• Implicit Distributions and Estimation

  2005cited by this paper
• Étude Comparative d’Algorithmes d’Apprentissage de Structure dans les Réseaux Bayésiens

  2004influential reference
• Improved MDL Score for Learning of Bayesian Networks

  2004cited by this paper
• A Bayesian Method for the Induction of Probabilistic Networks from Data

  2004influential reference
• A Hybrid Methodology for Learning Belief Networks: Benedict

  2000cited by this paper
• Comparison of score metrics for Bayesian network learning

  1996cited by this paper
• Minimum Description Length Principle

  1994cited by this paper
• Learning Bayesian networks: The combination of knowledge and statistical data

  1994cited by this paper
• Using Causal Information and Local Measures to Learn Bayesian Networks

  1993cited by this paper
• Local computations with probabilities on graphical structures and their application to expert systems

  1990cited by this paper
• A Bayesian extension of the minimum AIC procedure of autoregressive model fitting

  1979cited by this paper
• Modeling By Shortest Data Description*

  1978cited by this paper
• Counting unlabeled acyclic digraphs

  1977cited by this paper
• Information Theory and an Extension of the Maximum Likelihood Principle

  1973cited by this paper
• Approximating discrete probability distributions with dependence trees

  1968influential reference
• On the shortest spanning subtree of a graph and the traveling salesman problem

  1956cited by this paper

• Causal Discovery and Reasoning for Continuous Variables with an Improved Bayesian Network Constructed by Locality Sensitive Hashing and Kernel Density Estimation

  2025cites this paper
• An application of the Bayesian network model based on the EN-ESL-GA algorithm: Exploring the predictors of heart disease in middle-aged and elderly people in China

  2024cites this paper
• Research on Clinical Trial Data Analysis Based on Bayesian Network and Deep Learning

  2024cites this paper
• Chain graph structure learning based on minimal c-separation trees

  2024cites this paper
• Integrating Large Language Model for Improved Causal Discovery

  2023cites this paper
• An improved hybrid structure learning strategy for Bayesian networks based on ensemble learning

  2023cites this paper
• Optimized structure learning of Bayesian Network for investigating causation of vehicles' on-road crashes

  2022cites this paper
• Research on Dynamic Programming Strategy of Bayesian Network Structure Learning

  2022cites this paper
• Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets

  2022cites this paper
• Can good broiler flock welfare prevent colonization by Campylobacter?

  2021cites this paper
• Environmental Assessment Based on Health Information Using Artificial Intelligence

  2021cites this paper
• Dynamic Bayesian Network Learning to Infer Sparse Models From Time Series Gene Expression Data

  2021cites this paper
• Reliability evaluation for ventilation system of gas tunnel based on Bayesian network

  2021cites this paper
• RETRACTED ARTICLE: Network traffic detection for peer-to-peer traffic matrices on bayesian network in WSN

  2020cites this paper
• A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning

  2020cites this paper
• The Impact of Basel III Capital Regulation on Profitability: A Hybrid Model

  2020cites this paper
• Solar Power Ramp Event Forewarning with Limited Historical Observations

  2019cites this paper
• Bayesian-Based NIMBY Crisis Transformation Path Discovery for Municipal Solid Waste Incineration in China

  2019cites this paper
• A novel scoring function based on family transfer entropy for Bayesian networks learning and its application to industrial alarm systems

  2019cites this paper
• Credit risk modeling using Bayesian network with a latent variable

  2019cites this paper
• Research on the integrated system of case-based reasoning and Bayesian network.

  2019cites this paper
• Structure learning on Bayesian networks by finding the optimal ordering with and without priors

  2018cites this paper
• Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach

  2018cites this paper
• Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements

  2018cites this paper
• Brain Neuron Network Extraction and Analysis of Live Mice from Imaging Videos

  2017cites this paper
• Anomaly Detection and Redundancy Elimination of Big Sensor Data in Internet of Things

  2017cites this paper
• Predicting Stock Liquidity by Using Ensemble Data Mining Methods

  2016cites this paper
• Fuzzy variable structure dynamic Bayesian network applying target recognition

  2016cites this paper
• Redundancy Elimination of Big Sensor Data Using Bayesian Networks

  2016cites this paper
• Modeling network traffic for traffic matrix estimation and anomaly detection based on Bayesian network in cloud computing networks

  2016cites this paper
• The Multi-dimensional Customer Behavior Analysis Based on Biayes and Fisher Classification Algorithm

  2016cites this paper
• Bayesian Network Structure Learning Algorithms of Optimizing Fault Sample Set

  2016cites this paper
• Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm

  2016cites this paper
• Neuron Activity Extraction and Network Analysis on Mouse Brain Videos

  2016cites this paper
• Physarum Learner: A Slime Mold Inspired Structural Learning Approach

  2016cites this paper
• Bayesian network and response surface methodology for prediction and improvement of bacterial metabolite production

  2015cites this paper
• Structure space of Bayesian networks is dramatically reduced by subdividing it in sub-networks

  2015cites this paper
• %D\HVLDQ1HWZRUNDQG5HVSRQVH6XUIDFH 0HWKRGRORJ\IRU3UHGLFWLRQDQG,PSURYHPHQWRI %DFWHULDO0HWDEROLWH3URGXFWLRQ

  2015cites this paper
• A multinomial logit model-Bayesian network hybrid approach for driver injury severity analyses in rear-end crashes.

  2015cites this paper
• Investigation of Fault Diagnosis Model of Rotary Kiln Based on Improved Algorithm of Bayesian

  2015cites this paper
• Prediction of Market Segmentation Based on Attitudes towards Bus Trips and Risk Preference in an Urban Transit System by Bayesian Network

  2015cites this paper
• BNQM: A Bayesian Network based QoS Model for Grid service composition

  2015cites this paper
• Physarum Learner: A bio-inspired way of learning structure from data

  2014influential citation
• The use of Bayesian network in analysis of urban intersection crashes in China

  2013cites this paper
• Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index

  2013cites this paper
• ANALYSIS OF BREAST CANCER PROFILES USING BAYESIAN NETWORK MODELING

  2013cites this paper
• Bayesian Network Structure Learning Based on Unconstrained Optimization and Genetic Algorithm

  2013cites this paper
• A Compound Poisson Model for Learning Discrete Bayesian Networks

  2013cites this paper
• The Arc Learning Algorithm Based on Extended Functional Dependency

  2013cites this paper
• Structural learning Bayesian network equivalence classes via maximal prime decomposition

  2012cites this paper
• A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function

  2012cites this paper
• A New Learning Structure Heuristic of Bayesian Networks from Data

  2012cites this paper
• A New general learning structure approach of Bayesian networks from data

  2012cites this paper
• Using automated individual white-list to protect web digital identities

  2012cites this paper
• Improved algorithm based on mutual information for learning Bayesian network structures in the space of equivalence classes

  2012cites this paper
• Not so greedy: Randomly Selected Naive Bayes

  2012cites this paper
• Build user daily activity model and model structure changing

  2011cites this paper
• A novel knowledge-discovering approach from massive data

  2011cites this paper
• Bcl-2 expression and triple negative profile in breast carcinoma

  2011cites this paper
• Combined algorithm for the essential graph of Bayesian network structures

  2010cites this paper
• Learning parameters and structure of Bayesian networks using an Implicit framework

  2010cites this paper
• New algorithm for constructing Bayesian network structures from data

  2010cites this paper