For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
— Many deterministic algorithms in the context of constrained optimization require the first-order derivatives, or the gradient vectors, of the objective and constraint function...
Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soo...
We consider transfer of video frames over a time-varying wireless channel. When the channel is good, the transmitter can send frames at a higher rate than the receiver can consume...
Carri W. Chan, John G. Apostolopoulos, Yan Li, Nic...
Cooperative checkpointing uses global knowledge of the state and health of the machine to improve performance and reliability by dynamically deciding when to skip checkpoint reque...
For high quality MR imaging of time-varying objects such as beating heart or brain hemodynamics, we need to reduce signal acquisition time without sacrificing the spatial resolut...