Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Abstract. The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight. Energy-conscious design is important at all levels of syste...
Ning An, Sudhanva Gurumurthi, Anand Sivasubramania...
The classical inexact Newton algorithm is an efficient and popular technique for solving large sparse nonlinear system of equations. When the nonlinearities in the system are wellb...
The proliferation of mobile and pervasive computing devices has brought energy constraints into the limelight, together with performance considerations. Energy-conscious design is...
Ning An, Anand Sivasubramaniam, Narayanan Vijaykri...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...