- We address the issues of improving the feature generation methods for the value-function approximation and the state space approximation. We focus the improvement of feature gene...
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
Abstract. We discuss the existence of matrix representations for generalised and minimum participation constraints which are frequently used in database design and conceptual model...
The dimensionality reduction problem has been widely studied in the database literature because of its application for concise data representation in a variety of database applica...