We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
Reuse of application software has been limited and sometimes has led to accidents. This paper suggests some requirements for successful and safe application software reuse and dem...
Cardiac magnetic resonance imaging (MRI) has demonstrated to be the most accurate and reproducible tool for assessment of the cardiovascular system.Traditional quantification meth...
Hans C. van Assen, Alejandro F. Frangi, Mikhail G....
This paper examines a time reversal beamforming imager for detecting early stage breast cancer tumors. We use numerical simulations and electromagnetic tissue experiments to valid...