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ALP
1997
Springer
15 years 2 months ago
Optimal Non-deterministic Functional Logic Computations
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-...
Sergio Antoy
CCS
2005
ACM
15 years 3 months ago
The framework of selective interleaving functions and the modular assembly kit
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...
Heiko Mantel
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Preventing overfitting in GP with canary functions
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 ...
Nate Foreman, Matthew P. Evett
NIPS
1994
14 years 11 months ago
Generalization in Reinforcement Learning: Safely Approximating the Value Function
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...
Justin A. Boyan, Andrew W. Moore
PPDP
2010
Springer
14 years 8 months ago
Functional derivation of a virtual machine for delimited continuations
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...
Kenichi Asai, Arisa Kitani