We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
A model characterising strong normalisation for Klop’s extension of λ-calculus is presented. The main technical tools for this result are an inductive definition of strongly n...
This paper aims to provide insight into stability of collaboration choices in P2P networks. We study networks where exchanges between nodes are driven by the desire to receive the...
—Fault injection attacks are a powerful tool to exploit implementative weaknesses of robust cryptographic algorithms. The faults induced during the computation of the cryptograph...
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...