Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
Newborns must learn to structure incoming acoustic information into segments, words, phrases, etc., before they can start to learn language. This process is thought to rely on mod...
Jonathan Le Roux, Hirokazu Kameoka, Nobutaka Ono, ...
As part of the evolution of software systems, effort is often invested to discover in what parts of the source code a feature (or other concern) is implemented. Unfortunately, kn...
We present in this paper an approach aiming at adapting software components. It focuses on adapting component structures instead of adapting component services. Among the motivati...
Program differencing tools such as GNU diff identify individual differences but do not determine how those differences are related to each other. For example, an extract super...