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» Using Genetic Programming for Turing Machine Induction
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ATVA
2010
Springer
284views Hardware» more  ATVA 2010»
14 years 10 months ago
YAGA: Automated Analysis of Quantitative Safety Specifications in Probabilistic B
Probabilistic B (pB) [2, 8] extends classical B [7] to incorporate probabilistic updates together with the specification of quantitative safety properties. As for classical B, prob...
Ukachukwu Ndukwu, A. K. McIver
ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 9 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
APLAS
2004
ACM
15 years 3 months ago
A Functional Language for Logarithmic Space
Abstract. More than being just a tool for expressing algorithms, a welldesigned programming language allows the user to express her ideas efficiently. The design choices however eï...
Peter Møller Neergaard
ML
2007
ACM
122views Machine Learning» more  ML 2007»
14 years 9 months ago
Status report: hot pickles, and how to serve them
The need for flexible forms of serialisation arises under many circumstances, e.g. for doing high-level inter-process communication or to achieve persistence. Many languages, inc...
Andreas Rossberg, Guido Tack, Leif Kornstaedt
ML
2000
ACM
244views Machine Learning» more  ML 2000»
14 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski