This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Buffer overflow attacks have been causing serious security problems for decades. With more embedded systems networked, it becomes an important research problem to defend embedded ...
Zili Shao, Qingfeng Zhuge, Yi He, Edwin Hsing-Mean...
Abstract. The interest in the area of non-monotonic reasoning and declarative logic programming is growing rapidly after the recent development of a number of Answer Set Programmin...
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...