Results 271 to 280 of about 387,199 (302)

Local Learning Algorithm for Markov Blanket Discovery

2007
Learning of Markov blanket can be regarded as an optimal solution to the feature selection problem. In this paper, we propose a local learning algorithm, called Breadth-First search of MB (BFMB), to induce Markov blanket (MB) without having to learn a Bayesian network first. It is demonstrated as (1) easy to understand and prove to be sound in theory; (
Shunkai Fu, Michel C. Desmarais
openaire   +1 more source

A Fast Markov blanket discovery algorithm

2014 IEEE 5th International Conference on Software Engineering and Service Science, 2014
Learning Markov blanket MB plays an important role in feature selection for classification, causal discovery, and Bayesian Networks learning. In this paper, an efficient and effective algorithm, called Fast Iterative Parent-Child based search of MB (FIPC-MB) is proposed to learn the MB of the target variable T.
Xiaofeng Zhu, Youlong Yang
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Selecting Features by Learning Markov Blankets

2007
In this paper I propose a novel feature selection technique based on Bayesian networks. The main idea is to exploit the conditional independencies entailed by Bayesian networks in order to discard features that are not directly relevant for classification tasks.
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A novel feature selection using Markov blanket representative set and Particle Swarm Optimization algorithm

Computational and Applied Mathematics, 2023
Liqin Sun, Youlong Yang, T. Ning
semanticscholar   +1 more source

Markov Blanket Approximation Based on Clustering

2011
This paper presents new idea for Markov blanket approximation. It uses well known heuristic ordering of variables based on mutual information, but in another way then it was considered in previous works. Instead of using it as a simple help tool in a more complicated method most often based on statistical tests - presented here idea tries to rely ...
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Inferring Gene Regulatory Networks Using the Improved Markov Blanket Discovery Algorithm

Interdisciplinary Sciences Computational Life Sciences, 2021
Wei Liu, Yi Jiang, Li Peng, Xingen Sun, Wen-Yan Gan, Qi Zhao, Huanrong Tang   +6 more
semanticscholar   +1 more source

Identifying Markov Blankets Using Lasso Estimation

2004
Determining the causal relation among attributes in a domain is a key task in data mining and knowledge discovery. The Minimum Message Length (MML) principle has demonstrated its ability in discovering linear causal models from training data. To explore the ways to improve efficiency, this paper proposes a novel Markov Blanket identification algorithm ...
Gang Li 0009, Honghua Dai 0001, Yiqing Tu   +2 more
openaire   +1 more source

Ordinal causal discovery based on Markov blankets

Computational Statistics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu Du, Yi Sun, Luyao Tan
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Sparse coupling and Markov blankets

Physics of Life Reviews, 2022
Conor Heins, Lancelot Da Costa
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A novel feature selection method via mining Markov blanket

Applied intelligence (Boston), 2022
Waqar Khan, Lingfu Kong, S. M. Noman, Brekhna Brekhna   +3 more
semanticscholar   +1 more source