Results 101 to 110 of about 698,809 (305)

A Feature Subset Selection Method Based On High-Dimensional Mutual Information

Entropy, 2011
Feature selection is an important step in building accurate classifiers and provides better understanding of the data sets. In this paper, we propose a feature subset selection method based on high-dimensional mutual information.
Chee Keong Kwoh, Yun Zheng
doaj   +1 more source

An ATP‐Driven N Protein–DDX21 Molecular Switch Dynamically Controls SARS‐CoV‐2 RNA G‐Quadruplex Heterogeneity

Advanced Science, EarlyView.
An ATP‐driven molecular switch, comprising viral nucleocapsid (N) protein and host helicase DDX21, dynamically modulates SARS‐CoV‐2 RNA G‐quadruplex (G4) heterogeneity. These viral G4s feature non‐canonical ion‐dependence and act as energy‐sensitive structural checkpoints.
Ya‐Ting Zheng, Li‐Yan Zhai, Jie Jin, Qiu‐Ying Chen, Hang Fu, Xue‐Qian Sun, Ying Lu, Hui Li, Xi‐Miao Hou   +8 more
wiley   +1 more source

Tabu search enhanced Markov blanket classifier for high dimensional data sets

, 2018
: "Data sets with many discrete variables and relatively few cases arise in health care, ecommerce, information security, text mining, and many other domains.
Xue Bai (5361485)
core   +2 more sources

MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data

Advanced Science, EarlyView.
MAPA transforms complex multi‐omics data into biologically coherent functional modules by integrating pathway information with molecular interaction networks. Retrieval‐augmented large language models then generate structured, literature‐informed interpretations.
Yifei Ge, Feifan Zhang, Yijiang Liu, Chao Jiang, Peng Gao, Nguan Soon Tan, Sai Zhang, Yuchen Shen, Qianyi Zhou, Xin Zhou, Xiao Wang, Fangqing Zhao, Chuchu Wang, Xiaotao Shen   +13 more
wiley   +1 more source

Driving Anger States Detection Based on Incremental Association Markov Blanket and Least Square Support Vector Machine

Discrete Dynamics in Nature and Society, 2019
Driving anger, known as “road rage”, has gradually become a serious traffic psychology issue. Although driving anger identification is solved in some studies, there is still a gap in driving anger grading which is helpful to take different intervening ...
Ping Wan, Chaozhong Wu, Yingzi Lin, Xiaofeng Ma   +3 more
doaj   +1 more source

Speculative Markov Blanket Discovery for Optimal Feature Selection

, 2008
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection problem to find an optimal set of features for classification tasks, and is ...
Sandeep Yaramakala
core  

Emergence of Unconventional Magnetic Order in Strain‐Engineered RuO2/TiO2 Superlattices

Advanced Science, EarlyView.
Epitaxial strain activates unconventional magnetism in rutile RuO2, absent in bulk or relaxed RuO2. Polarized neutron reflectometry with atomic‐layer resolution directly reveals finite magnetization confined to RuO2 layers in fully strained RuO2/TiO2 superlattices on TiO2 (110).
Seung Gyo Jeong, Seungjun Lee, Jin Young Oh, Bonnie Y. X. Lin, Anand Santhosh, Sehwan Song, Sungkyun Park, James M. LeBeau, Alexander J. Grutter, Woo Seok Choi, Tony Low, Valeria Lauter, Bharat Jalan   +12 more
wiley   +1 more source

Feature Selection With Ensemble Learning Based on Improved Dempster-Shafer Evidence Fusion

IEEE Access, 2019
Feature selection or attribute reduction is an important data preprocessing technique for dimensionality reduction in machine learning and data mining.
Yifeng Zheng, Guohe Li, Wenjie Zhang, Ying Li, Baoya Wei   +4 more
doaj   +1 more source

An Improved IAMB Algorithm for Markov Blanket Discovery

Journal of Computers, 2010
Finding an efficient way to discover Markov blanket is one of the core issue s in data mining. This paper first discusses the problems existed in IAMB algorithm which is a typical algorithm for discovering the Markov b lanket of a target variable from the training dat a, and then proposes an improved algorithm λ -IAMB based ...
Yishi Zhang, Zigang Zhang, Kaijun Liu, Gangyi Qian   +3 more
openaire   +2 more sources

A stochastic markov-blanket framework strategy for microarray data [PDF]

, 2020
Microarray technologies allow examining expression levels for thousands of genes under various experimental conditions. It has provided a new way of biological classification on a genomewide scale.
Patel, Harshil
core   +1 more source