A novel native stochastic local search algorithm for solving k-term DNF problems is presented. It is evaluated on hard k-term DNF problems that lie on the phase transition and com...
We explore in this paper a practicably interesting mining task to retrieve frequent itemsets with memory constraint. As opposed to most previous works that concentrate on improvin...
Endgame heuristics are often incorperated as part of the evaluation function used in Chinese chess programs. In our program, Contemplation, we have proposed an automatic strategy t...
This paper describes ongoing work on a domainretargetable reverse engineering environment which is used to aid the structural understanding of large information spaces. In particu...
The ever increasing mobility of computers has made protection of data on digital storage media an important requirement in a number of applications and situations. GBDE is a stron...