A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
Dynamic Label Acquisition and Answer Aggregation (DLTA) crowd-sourcing framework accomplishes the classification assignment in a promising manner. ... The goal of this work is to enhance the crowd-sourcing classification task efficiency with Dynamic Resource Algorithm. ... II.RELATED WORKS Libon Zheng proposed a DLTA Framework for Dynamic Crowd sourcing Classification Tasks  . ...doi:10.17762/itii.v9i1.246 fatcat:stwq4od7a5alhm7atigjygjsju
Acs, G., +, TKDE June 2019 1109-1121 DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks. Zheng, L., +, TKDE May 2019 867-879 Efficient Multi-Class Probabilistic SVMs on GPUs. ... ., +, TKDE Oct. 2019 1863-1883 A Unified Framework for Community Detection and Network Representation Learning. Tu, C., +, TKDE June 2019 1051-1065 Adaptive Cost-Sensitive Online Classification. ...doi:10.1109/tkde.2019.2953412 fatcat:jkmpnsjcf5a3bhhf4ian66mj5y