Results 11 to 20 of about 1,014,031 (308)

Diagnostic performance of classification criteria for systemic lupus erythematosus: A validation study from Singapore

open access: yesAnnals, Academy of Medicine, Singapore
Introduction: Classification criteria for systemic lupus erythematosus (SLE) include American College of Rheumatology (ACR) 1997, Systemic Lupus Erythematosus International Collaborating Clinics (SLICC) 2012 and European Alliance of Associations for ...
Kai Liang Teh   +6 more
doaj   +2 more sources

Identification of wood defect using pattern recognition technique

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2021
This study proposed a classification model for timber defect classification based on an artificial neural network (ANN). Besides that, the research also focuses on determining the appropriate parameters for the neural network model in optimizing the ...
Teo Hong Chun   +6 more
doaj   +1 more source

Relating reinforcement learning performance to classification performance [PDF]

open access: yesProceedings of the 22nd international conference on Machine learning - ICML '05, 2005
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any unobservable assumptions (no assumption of independence, small mixing time, fully observable states, or even hidden states) and the resulting statement is independent of the ...
John Langford 0001, Bianca Zadrozny
openaire   +1 more source

Decision-Refillable-Based Two-Material-View Fuzzy Classification for Personal Thermal Comfort

open access: yesApplied Sciences, 2022
The personal thermal comfort model is used to design and control the thermal environment and predict the thermal comfort responses of individuals rather than reflect the average response of the population.
Zhaofei Xu   +6 more
doaj   +1 more source

Granular Support Vector Machine Algorithm Based on Affinity Propagation

open access: yesJisuanji kexue yu tansuo, 2020
The granular support vector machine (GSVM) can effectively improve the learning efficiency of support vector machine (SVM) but may lose some generalization ability at same time, because it is sensitive to the initial granulation parameter and the ...
CHENG Fengwei, WANG Wenjian
doaj   +1 more source

Classification Performance of a Novel Hydraulic Classifier Equipped with a W-Shaped Reflector

open access: yesSeparations, 2022
In the present research, we propose the use of a novel hydraulic classifier equipped with a W-shaped reflector to enhance classification performance. The effects of the structural dimensions of a W-shaped reflector on the flow field of a classifier and ...
Yuekan Zhang   +3 more
doaj   +1 more source

Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations of Conventional and Deep Learning Techniques

open access: yesSensors, 2023
Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks ...
Delia-Alexandrina Mitrea   +5 more
doaj   +1 more source

Early detection of student degree-level academic performance using educational data mining [PDF]

open access: yesPeerJ Computer Science, 2023
Higher educational institutes generate massive amounts of student data. This data needs to be explored in depth to better understand various facets of student learning behavior.
Areej Fatemah Meghji   +5 more
doaj   +2 more sources

Research on Urea-related Deposit in the Exhaust Pipe of SCR System

open access: yesMATEC Web of Conferences, 2019
At present, numbers of commercial vehicles equipped with SCR system have been observed to generate deposit on exhaust pipe wall after operation for a certain time. Deposits can be hardly dissolved in water and decomposed by heating.
Zhu Neng, Lv Lin, Chen Shi
doaj   +1 more source

A Novel Strategy for Improving the Counter Propagation Artificial Neural Networks in Classification Tasks

open access: yesJournal of Communications Software and Systems, 2022
Counter-Propagation-Artificial-Neural-Networks (C P-ANNs) have been applied in several domains due to their learning and classification abilities. Regardless of their strength, the CP-ANNs still have some limitations in pattern recognition tasks when ...
Sara Belattar   +2 more
doaj   +1 more source

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