Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Translation validators are static analyzers that attempt to verify that program transformations preserve semantics. Normalizing translation validators do so by trying to match the...
Jean-Baptiste Tristan, Paul Govereau, Greg Morrise...
Shared-memory concurrency in C and C++ is pervasive in systems programming, but has long been poorly defined. This motivated an ongoing shared effort by the standards committees ...
Mark Batty, Scott Owens, Susmit Sarkar, Peter Sewe...
Disciplined approximate programming lets programmers declare which parts of a program can be computed approximately and consequently at a lower energy cost. The compiler proves st...
Hadi Esmaeilzadeh, Adrian Sampson, Luis Ceze, Doug...
Abstract. Model-Driven Engineering (MDE) places models as firstclass artifacts throughout the software lifecycle. In this context, model transformations are crucial for the succes...
Gerti Kappel, Philip Langer, Werner Retschitzegger...