Results 171 to 180 of about 21,386 (201)

Comparative Evaluation of Deep Learning Graph Neural Networks and Classical Machine Learning Models for Predicting Heats of Combustion as a Key Hazard Indicator under GHS/CLP Standards. [PDF]

ACS Omega
Nnyigide OS, Byeon H, Okpete UE.
europepmc   +1 more source

When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification. [PDF]

Sensors (Basel)
Ban H, Feng J, Liu Z, Jiang Y, Wang Z, Liu J, Hu Y, Lin Y.   +7 more
europepmc   +1 more source

Characterization of vascular patterns in endometrial cancer via optical resolution photoacoustic microscopy. [PDF]

J Biomed Opt
Wang L, Lin Y, Thakur S, Xu J, Zhu Q.
europepmc   +1 more source

Predictors of death in diabetes-associated Enterobacteriaceae sepsis: A Mendelian randomization and machine learning study. [PDF]

Medicine (Baltimore)
Lou H, Han K, Wang Y.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Study on an improved Lie Group machine learning-based classification algorithm

2020 IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), 2020
In order to address the problem that the geodesic distance of Lie Group machine learning method has failed to use the sample class information, this paper proposes an improved Lie Group machine learning algorithm. Firstly, this algorithm maps the vector space consisting of sample dataset into a differential manifold, and each sample corresponds to a ...
Minfeng Zhang, Wang Xu
exaly   +2 more sources

Research of the Symplectic Group Classifier Based on Lie Group Machine Learning

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
This paper describes the theories of symplectic group based on the basic conceptions and theory framework of lie group machine learning (LML), it implements the constructor of symplectic classifier in Lie group machine learning (LML), along with the descriptions of the correlated problems.
Fanzhang Li
exaly   +2 more sources

Intelligent manufacturing Lie Group Machine Learning: real-time and efficient inspection system based on fog computing

Journal of Intelligent Manufacturing, 2020
Due to the improvement of network infrastructure and the application of Internet of Things equipment, a large number of sensors are deployed in the industrial pipeline production, and the large size of data is generated. The most typical case in the production line is product inspection, that is, defect inspection.
Guobin Zhu, Guobin Zhu, Chengjun Xu
exaly   +2 more sources

A Lie group Laplacian Support Vector Machine for semi-supervised learning

Neurocomputing
, Yue Zhang
exaly   +2 more sources