Research on learning suggests the importance of helping students organize their knowledge around meaningful patterns of information. This paper reports on a multi-institutional st...
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
We present a scheme to steganographically embed information in x86 program binaries. We define sets of functionally-equivalent instructions, and use a key-derived selection proces...
Given the high cost of producing software, development of technology for prevention of software piracy is important for the software industry. In this paper we present a novel app...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...