For data dominated applications, the system level design trajectory should first focus on finding a good data transfer and storage solution. Since no realization details are avail...
Per Gunnar Kjeldsberg, Francky Catthoor, Einar J. ...
We study the random variable Yn representing the number of occurrences of a given symbol in a word of length n generated at random. The stochastic model we assume is a simple non-e...
Diego de Falco, Massimiliano Goldwurm, Violetta Lo...
Paul Milgrom (The Bell Journal of Economics, 12(2): 380–391) showed that if the strict monotone likelihood ratio property (MLRP) does not hold for a conditional distribution the...
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 ...
Fast query processing of complex objects, e.g. spatial or uncertain objects, depends on efficient spatial pruning of the objects’ approximations, which are typically minimum bou...