This research uses a Design of Experiments (DOE) approach to build a predictive model of the performance of a combinatorial optimization heuristic over a range of heuristic tuning...
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
We present one way of combining a logical framework and first-order logic. The logical framework is used as an interface to a first-order theorem prover. Its main purpose is to k...
Verification of programs with procedures, multi-threaded programs, and higher-order functional programs can be effectively auusing abstraction and refinement schemes that rely o...
Boolean Constraint Propagation (BCP) is recognized as one of the most useful technique for efficient satisfiability checking. In this paper a new extension of the scope of boole...