As XML is gathering more and more importance in the field of data interchange in distributed business to business (B2B) applications, it is increasingly important to provide a for...
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Background: The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disea...
Chun Meng Song, Boon Huat Yeo, Erwin Tantoso, Yuch...
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...