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CCS
2005
ACM
15 years 10 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
126
Voted
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 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
133
Voted
NIPS
1994
15 years 6 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
127
Voted
PPDP
2010
Springer
15 years 3 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
INTENSIVE
2009
IEEE
15 years 11 months ago
Accelerating K-Means on the Graphics Processor via CUDA
In this paper an optimized k-means implementation on the graphics processing unit (GPU) is presented. NVIDIA’s Compute Unified Device Architecture (CUDA), available from the G8...
Mario Zechner, Michael Granitzer