—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
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, ...
Abstract. The inefficiency of integration processes—as an abstraction of workflow-based integration tasks—is often reasoned by low resource utilization and significant waiti...
Several efficient and very powerful algorithms exist for detecting changes in tree-based textual documents, such as those encoded in XML. An important aspect is still underestimat...
Angelo Di Iorio, Michele Schirinzi, Fabio Vitali, ...
When considering Web services’ (WS) use for online business-to-business (B2B) collaboration between companies, security is a complicated and very topical issue. This is especial...