This paper summarizes the work done at the State University of New York at Buffalo (UB) in the GeoCLEF 2006 track. The approach presented uses pure IR techniques (indexing of sing...
Miguel E. Ruiz, June M. Abbas, David Mark, Stuart ...
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
Several initiatives for establishing standards for metadata models are being carried out at the moment, but everyone focuses on their own requirements when defining metadata attri...
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...