Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
Random walk graph kernel has been used as an important tool for various data mining tasks including classification and similarity computation. Despite its usefulness, however, it...
Abstract. The Symposium on Computational Discovery of Communicable Knowledge was held from March 24 to 25, 2001, at Stanford University. Fifteen speakers reviewed recent advances i...
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
This paper discusses the development of a methodology for reasoning about properties of security policies. We view a security policy as a special case of regulation which specifi...