Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Many commercial database systems maintain histograms to summarize the contents of relations and permit efficient estimation of query result sizes and access plan costs. Although s...
Viswanath Poosala, Yannis E. Ioannidis, Peter J. H...
There have been several techniques proposed for building statistics for static XML data. However, very little work has been done in the area of building XML statistics for data so...
Abstract. The most relevant practical impediment to an application of the Markowitz portfolio selection approach is the problem of estimating return moments, in particular return e...