In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
In this paper we argue that the explicit capture of crosscutting concerns in code should be the natural consequence of good and clean modularity in analysis and design, based on f...
A key prerequisite to optimal reasoning under uncertainty in intelligent systems is to start with good class probability estimates. This paper improves on the current best probabi...
This paper describes the construction of language choice models for the microplanning of discourse relations in a Natural Language Generation system that attempts to generate appr...