Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Trust is an integral part of the Semantic Web architecture. Most prior work on trust focuses on entity-centered issues such as authentication and reputation and does not take into...
We propose a method to minimize power dissipation in current-mode CMOS analog and multiple-valued logic (MVL) circuits employing a stack of current comparators. First, we present ...
We consider the problem of minimizing the delay in signal transmission over point-to-point connections across multiple metal layers in a VLSI circuit. We present an exact solution...