This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
—The generalized cyclotomic sequence of order two has several good randomness properties and behaves like the Legendre sequence in several aspects. In this correspondence we calc...
We address two open theoretical questions in Policy Gradient Reinforcement Learning. The first concerns the efficacy of using function approximation to represent the state action ...
New ways to estimate ranges of values of functions from standard and inner interval arithmetic have been proposed. Using the proposed ways ranges of values of mathematical test fun...
In a selective private function evaluation (SPFE) protocol, the client privately computes some predefined function on his own input and on m out of server's n database element...