Abstract. We show that non-determinism simplifies coding certain problems into programs. We define a non-confluent, but well-behaved class of rewrite systems for supporting non-...
The Framework of Selective Interleaving Functions and the Modular Assembly Kit for Security Properties both provide a basis for the uniform representation and formal analysis of n...
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
This paper connects the definitional interpreter for the λ-calculus extended with delimited continuation constructs, shift and reset, with a compiler and a low-level virtual mac...