Results 241 to 250 of about 387,199 (302)

Markov Blanket Composition of SLOs

2024 IEEE International Conference on Edge Computing and Communications (EDGE)
Smart environments use composable microservices pipelines to process Internet of Things (IoT) data, where each service is dependent on the outcome of its predecessor.
Boris Sedlak, Víctor Casamayor-Pujol, Praveen Kumar Donta, S. Dustdar   +3 more
semanticscholar   +2 more sources

Wrapper-based gene selection with Markov blanket

Computers in Biology and Medicine, 2017
Gene selection seeks to find a small subset of discriminant genes from the gene expression profiles. Current gene selection methods such as wrapper-based models mainly address the issue of obtaining high-quality gene subsets. However, they are considerably time consuming, due to the existence of irrelevant and redundant genes. In this study, we present
Aiguo Wang, Ning An, Jing Yang
exaly   +4 more sources

Markov Blanket Density and Free Energy Minimization

CoRR
This paper presents a continuous, information-theoretic extension of the Free Energy Principle through the concept of Markov blanket density, i.e., a scalar field that quantifies the degree of conditional independence between internal and external states
L. Possati
semanticscholar   +3 more sources

Markov blanket-based universal feature selection for classification and regression of mixed-type data

Expert Systems With Applications, 2020
Feature selection has been successfully applied to improve the quality of data analysis in various expert and intelligent systems. However, because most real-world data nowadays come with mixed features, traditional feature selection approaches that are ...
Junghye Lee, Chi-Hyuck Jun
exaly   +2 more sources

Improving the performance and explainability of knowledge tracing via Markov blanket

Information Processing and Management
Bo Jiang, Yuang Wei
exaly   +2 more sources

Feature selection via Class-specific Approximate Markov Blanket and Rough Set-based Mapping

Applied Soft Computing Journal
Ling Tan, Pei Liang, Jie Zhao
exaly   +2 more sources

Loose-to-strict Markov blanket learning algorithm for feature selection

Knowledge-Based Systems
Niantai Wang, Haoran Liu, Liyue Zhang, Yanbin Cai, Qianrui Shi   +4 more
exaly   +2 more sources

Efficient score-based Markov Blanket discovery

International Journal of Approximate Reasoning, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian Gao, Qiang Ji
exaly   +2 more sources

LAGAM: A Length-Adaptive Genetic Algorithm With Markov Blanket for High-Dimensional Feature Selection in Classification

IEEE Transactions on Cybernetics, 2022
Feature selection (FS) is an essential technique widely applied in data mining. Recent studies have shown that evolutionary computing (EC) is very promising for FS due to its powerful search capability.
Junhai Zhou, Quanwang Wu, Mengchu Zhou, Junhao Wen, Y. Al-Turki, A. Abusorrah   +5 more
semanticscholar   +1 more source

Authentication of ST25 rice using temperature-perturbed Raman measurement with variable selection by Incremental Association Markov Blanket.

Food Chemistry, 2023
A temperature-perturbed transmission Raman measurement was demonstrated for the discrimination of ST25 and non-ST25 rice samples. ST25 rice is a premium long-grain Vietnamese rice with the aroma of pandan leaves and the scent of early sticky rice.
Thu Thuy Bui, Seongsoo Jeong, H. Jeong, Giang Truong Le, Hoa Quynh Nguyen, Hoeil Chung   +5 more
semanticscholar   +1 more source