The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
The combinatorial approach to software testing uses models to generate a minimal number of test inputs so that selected combinations of input values are covered. The most common c...
Christopher M. Lott, Ashish Jain, Siddhartha R. Da...
The challenge of verifying a modern microprocessor design is an overwhelming one: Increasingly complex micro-architectures combined with heavy time-to-market pressure have forced ...
In a C compiler, function calls are difficult to implement correctly because they must respect a platform-specific calling convention. But they are governed by a simple invariant...
We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term &qu...