Yuri Gurevich and Itay Neeman proposed the Distributed Knowledge Authorization Language, DKAL, as an expressive, yet very succinctly expressible logic for distributed authorization...
: A number of Electronic Health Record (EHR) standards and frameworks have been developed to assist with the interoperability and integration of distributed EHR information. Ideall...
Andreas Thiel, Marco Eichelberg, Berthold B. Wein,...
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...