While most of the attention on building systems enabling semantic interoperability has been devoted to technical issues, human and organizational aspects are of equally if not hig...
Navigating through large virtual environments using a headmounted display (HMD) is difficult due to the spatial limitations of the tracking system. We conducted two experiments t...
Betsy Williams, Gayathri Narasimham, Timothy P. Mc...
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Kernel machines rely on an implicit mapping of the data such that non-linear classification in the original space corresponds to linear classification in the new space. As kernel ...
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...