Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...
We present in this paper a unified paradigm for the verification and validation of software and systems engineering design models expressed in UML 2.0 or SysML. This paradigm reli...
We present a method to abstract, formalize, and verify industrial flash memory implementations. Flash memories contain specialized transistors, e.g., floating gate and split gate d...
Sandip Ray, Jayanta Bhadra, Thomas Portlock, Ronal...
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...