We present a novel approach to parallel Boolean satisfiability (SAT) checking. A distinctive feature of our parallel SAT checker is that it incorporates all essential heuristics ...
Wolfgang Blochinger, Carsten Sinz, Wolfgang Kü...
It is well known that the performance of a stochastic local search procedure depends upon the setting of its noise parameter, and that the optimal setting varies with the problem ...
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
Abduction is an important inference process underlying much of human intelligent activities, including text understanding, plan recognition, disease diagnosis, and physical device...
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...