Leveraging information across diverse modalities is known to enhance
per...
Robust Markov decision processes (MDPs) address the challenge of model
u...
In robust Markov decision processes (MDPs), the uncertainty in the trans...
Incremental Task learning (ITL) is a category of continual learning that...
Tensors, which provide a powerful and flexible model for representing
mu...
Tucker decomposition is a common method for the analysis of multi-way/te...
A common approach for performing sparse tensor recovery is to use an N-m...
Although largely different concepts, echo state networks and compressed
...