—New methods for fault-effect propagation and state justification that use finite-state-machine sequences are proposed for sequential circuit test generation. Distinguishing se...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
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. ...
— We aim to search for cellular automata candidate to an automatic system for the demonstration of collision-based universality and that can be able to simulate Turing machines i...
A paradigm for music expression understanding based on a joint semantic space, described by both affective and sensorial adjectives, is presented. Machine learning techniques were...
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features ext...