Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
The research vision of the Unified Component Meta Model Framework (UniFrame) is to develop an infrastructure for components that enables a plug and play component environment wher...
Carol C. Burt, Barrett R. Bryant, Rajeev R. Raje, ...
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Sparse principal component analysis (PCA) imposes extra constraints or penalty terms to the standard PCA to achieve sparsity. In this paper, we first introduce an efficient algor...
Numerous researchers have proposed to use relational databases to store and query XML documents. One important component of such systems is the XML subtree reconstruction, which r...
Artem Chebotko, Dapeng Liu, Mustafa Atay, Shiyong ...