Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
Abstract. The overhead of matching CHR rules is alleviated by constraint store indexing. Attributed variables provide an efficient means of indexing on logical variables. Existing ...
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning app...
As timing requirements in today’s advanced VLSI designs become more aggressive, the need for automated tools to diagnose timing failures increases. This work presents two such a...
Jiang Brandon Liu, Magdy S. Abadir, Andreas G. Ven...