In this paper we examine the ability to perform causal reasoning with equilibrium models. We explicate a postulate, which we term the Manipulation Postulate, that is required in o...
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
Mathematical models of physical phenomena are of critical importance in virtually all applications of science and technology. This paper addresses the problem of how to use data to...
Anthony M. D'Amato, Aaron J. Ridley, Dennis S. Ber...
Probabilistic CMOS is considered a promising technology for future generations of computing devices. By embracing possibly incorrect calculations, the technology makes it possible ...
Mark S. K. Lau, Keck Voon Ling, Yun-Chung Chu, Aru...