— Probabilistic models are widely used to analyze embedded, networked, and more recently biological systems. Existing numerical analysis techniques are limited to finitestate mo...
Clinical decision-making involves an active interplay between various medical knowledge modalities. Medical knowledge morphing aims to support clinical decision support by mimicki...
With the proliferation of Grid computing, potentially vast computational resources are available for solving complex problems in science and engineering. However, writing, deployi...
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
A challenging problem for software engineering practitioners is moving from high-level system architectures produced by system engineers to deployable software produced by softwar...
David Garlan, William K. Reinholtz, Bradley R. Sch...