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A Correlation-Decoupled Interval Belief Rule Base for Interpretable Cross-Condition Bearing Fault Diagnosis. [PDF]

Entropy (Basel)
Yan X, Yu Y, Li N.
europepmc   +1 more source

Preferences for community-based asynchronous-review eye clinics in the UK: A discrete choice experiment among patients, healthcare professionals, and the public. [PDF]

PLoS One
Ndwandwe S, Ramsay AIG, Magnusson J, Napier S, Baker H, Cammack J, Fu DJ, Khaw PT, Sivaprasad S, Jayaram H, Foster PJ, Clarke CS, HERCULES Consortium.   +12 more
europepmc   +1 more source

Multi-Dimensional Behavioral Signature Analysis for Video Bullet Comment Steganography Detection. [PDF]

Entropy (Basel)
Liu Y, Zhao H.
europepmc   +1 more source

Agrivoltaics can reduce political polarization and local opposition to solar energy on land. [PDF]

Nat Commun
Fesenfeld L, Sistek L, Montfort S, Anderegg D, Rohrer J, Schmidt T.   +5 more
europepmc   +1 more source

Bayesian cognitive diagnosis optimizes personalized learning paths via mediation of cognitive load and Hidden Markov Model state transitions. [PDF]

Front Psychol
Feng Z, Huang K.
europepmc   +1 more source

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A Novel Approach to Attribute Reduction Based on Weighted Neighborhood Rough Sets

Knowledge-Based Systems, 2021
Neighborhood rough sets based attribute reduction, as a common dimension reduction method, has been widely used in machine learning and data mining. Each attribute has the same weight (the degree of importance) in the existing neighborhood rough set ...
Weihua Xu, Degang Chen, Eric C C Tsang
exaly   +2 more sources

Attribute group for attribute reduction

Information Sciences, 2020
In the field of rough set, how to improve the efficiency of obtaining reduct has been paid much attention to. One of the typical strategies is to reduce the number of comparisons among samples, it follows that the time consumption of generating binary ...
Yan Chen, Ke-Yu Liu, Jing-Jing Song, H. Fujita, Xi-Bei Yang, Yu-Hua Qian   +5 more
semanticscholar   +3 more sources

Fuzzy Rough Set-Based Attribute Reduction Using Distance Measures

Knowledge-Based Systems, 2019
Attribute reduction is one of the most important applications of fuzzy rough sets in machine learning and pattern recognition. Most existing methods employ the intersection operation of fuzzy relations to construct the dependency function of attribute ...
Mingwen Shao, Changzhong Wang, Xiaodong Fan   +2 more
exaly   +2 more sources

Semi-Supervised Attribute Reduction Based on Label Distribution and Label Irrelevance

Information Fusion, 2023
Chucai Zhang, Jianhua Dai
exaly   +2 more sources

Unsupervised Attribute Reduction for Mixed Data Based on Fuzzy Rough Sets

Information Sciences, 2021
Tianrui Li, Hongmei Chen, Zeng Yu
exaly   +2 more sources