Abstract. Parallel genetic algorithms are usually implemented on parallel machines or distributed systems. This paper describes how finegrained parallel genetic algorithms can be ...
Multi-processor architectures have gained interest recently because of their ability to exploit programmable silicon parallelism at acceptable power-efficiency figures. Despite th...
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
Performance tuning involves a diagnostic process to locate and explain sources of program inefficiency. A performance diagnosis system can leverage knowledge of performance cause...