Multi-source domain adaptation aims at leveraging the knowledge from multiple tasks for predicting a related target domain.
Multiparty Dialogue Machine Reading Comprehension (MRC) differs from traditional MRC as models must handle the complex dialogue discourse structure, previously unconsidered in traditional MRC.
Imposing flow unsteadiness on the incoming flow has shown an increment in higher CQf at low free stream velocity and lower CQf at high free stream velocity.
We study the label shift problem in multi-source transfer learning and derive new generic principles to control the target generalization risk.
With the rise of smartphones and the internet-of-things, data is increasingly getting generated at the edge on local, personal devices.
Robust principal component analysis (RPCA) is a widely used tool for dimension reduction.
no code implementations • 27 May 2020 • Ke Xu, Anton S. Tremsin, Jiaqi Li, Daniela M. Ushizima, Catherine A. Davy, Amine Bouterf, Ying Tsun Su, Milena Marroccoli, Anna Maria Mauro, Massimo Osanna, Antonio Telesca, Paulo J. M. Monteiro
In the present work, samples were drilled from the "Hospitium" in Pompeii and were analyzed by synchrotron microtomography (uCT) and neutron radiography to study how the microstructure, including the presence of induced cracks, affects their water adsorption.
Electron Microscopy Applied Physics Materials Science Geophysics
Research into the area of multiparty dialog has grown considerably over recent years.
In this paper, we propose the scheme for annotating large-scale multi-party chat dialogues for discourse parsing and machine comprehension.
Software Defined Internet of Things (SD-IoT) Networks profits from centralized management and interactive resource sharing which enhances the efficiency and scalability of IoT applications.
As an inevitable trend of future 5G networks, Software Defined architecture has many advantages in providing central- ized control and flexible resource management.