Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
Abstract. Wavelet radiosity is, by its nature, restricted to parallelograms or triangles. This paper presents an innovative technique enabling wavelet radiosity computations on pla...
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
We present a transistor level power estimator which exploits algorithms for fast circuit simulation to compute the power dissipation of CMOS circuits. The proposed approach uses s...
Premal Buch, Shen Lin, Vijay Nagasamy, Ernest S. K...