Techniques for simultaneous display of volume data and geometric models have been reported in the literature. These techniques either require conversion from one representation to...
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
An important issue for federated systems of diverse data sources is optimizing cross-source queries, without building knowledge of individual sources into the optimizer. This pape...
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...