Applications of partial evaluation have so far mainly focused on generation of compilers from interpreters for programming languages. We partially evaluate a simple general LR(k) ...
This paper presents an efficient algorithm that identifies a rich subclass of multiple context-free languages in the limit from positive data and membership queries by observing wh...
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
Having been convinced of the potential benefits of partial evaluation, we wanted to conduct some experiments in our favourite Computer Algebra System, Maple. Maple is a large lan...
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...