Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
We present a framework for (static) verification of general resource usage program properties. The framework extends the criteria of correctness as the conformance of a program to ...
In order to allow for the analysis of data sets including numerical attributes, several generalizations of association rule mining based on fuzzy sets have been proposed in the li...
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
PVS is a highly automated framework for speci cation and veri cation. We show how the language and deduction features of PVS can be used to formalize, mechanize, and apply some us...