We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
Providing Quality of Service (QoS) to inelastic data transmissions in a cost-efficient, highly scalable, and realistic fashion in IP networks remains a challenging research issue....
Krishna Pandit, Jens Schmitt, Martin Karsten, Ralf...
The diversity and large volumes of data processed in the Natural Sciences today has led to a proliferation of highlyspecialized and autonomous scientific databases with inherent a...
Anastasios Kementsietsidis, Frank Neven, Dieter Va...
Maximum likelihood (ML) estimation is used during tomosynthesis mammography reconstruction. A single reconstruction involves the processing of highresolution projection images, wh...
Juemin Zhang, Waleed Meleis, David R. Kaeli, Tao W...
: Network analytic method designed for the analysis of static networks promise to identify significant relational patterns that correlate with important structures in the complex ...