Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
Abstract. In earlier work, the Abstract State Machine Thesis — that arbitrary algore behaviorally equivalent to abstract state machines — was established for several classes of...
Andreas Blass, Yuri Gurevich, Dean Rosenzweig, Ben...
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
: The technology of virtual machines is widely applied in many fields, such as code transplanting, cross-platform computing, and hardware simulation. The main purpose is to simulat...
In Rutten [13] the theoretical basis was given for the synthesis of binary Mealy machines from specifications in 2-adic arithmetic. This construction is based on the symbolic comp...
Helle Hvid Hansen, David Costa, Jan J. M. M. Rutte...