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. ...
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...
: Changing business requirements such as providing new business services lead to an ongoing need for fast and flexible adaptation of the underlying information systems and infrastr...
To build software which, at the press of a button, can tell you what cognition related hazards there are within an environment or a task, is probably well into the future if it is ...