Work

Learning from partially labeled data.

Year: 2020

Type: conference-paper

Source: Research Publications (Maastricht University)

Authors: Siamak Mehrkanoon, Xiaolin Huang, Johan A. K. Suykens

Institutions: Maastricht University, Shanghai Jiao Tong University, KU Leuven

Language: English

Topic: Machine Learning and Algorithms

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: European Commission, National Natural Science Foundation of China, Universiteit Maastricht, Fonds Wetenschappelijk Onderzoek, KU Leuven, Shanghai Jiao Tong University, Vlaamse regering, H2020 European Research Council

Awards: G1431749042, Semi-Supervised Models with Deep Architectures and Applications, G3092313991, G434337789, IMPULS-AI-2021, Exploring Duality for Future Data-driven Modelling, G8081038515, G907169927

OpenAlex ID: W3127013375

FWCI: 0.08

Cites: 23

Cited by: 2

Related to: 10