Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Techniques for plan recognition under uncertainty require a stochastic model of the plangeneration process. We introduce probabilistic state-dependent grammars (PSDGs) to represen...
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
Triple graph grammars (TGGs) are a formal and intuitive concept for the specification of model transformations. Their main advantage is an automatic derivation of operational rule...
Hartmut Ehrig, Claudia Ermel, Frank Hermann, Ulrik...
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...