We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
The work addresses the problem of coping with a diversity of location tracking techniques available in ubiquitous computing environments. We investigate how this diversity can be e...
Collaboration, either inter or intra-organization is a critical business function that demands skills and knowledge spanning a wide range of domains including social, business and ...
Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...