Abstract. The methods of Invisible Invariants and Invisible Ranking were developed originally in order to verify temporal properties of parameterized systems in a fully automatic m...
Yi Fang, Nir Piterman, Amir Pnueli, Lenore D. Zuck
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Abstract: As a result of variations in the fabrication process, different memory components are produced with different operational characteristics, a situation that complicates th...
Mathematical modeling and simulation of complex physical systems are emerging as key technologies in engineering. Modern approaches to physical system simulation allow users to sp...
Artificial intelligence techniques have found a number of applications in hypermedia, mostly in two specific areas, user interface, particularly adaptive ones and information sear...