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» A probabilistic language based on sampling functions
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ISORC
2003
IEEE
15 years 2 months ago
Probabilistic Simulation-Based Analysis of Complex Real-Time Systems
Many industrial real-time systems have evolved over a long period of time and were initially so simple that it was possible to predict consequences of adding new functionality by ...
Anders Wall, Johan Andersson, Christer Norströ...
CORR
2000
Springer
116views Education» more  CORR 2000»
14 years 9 months ago
Algorithmic Statistics
While Kolmogorov complexity is the accepted absolute measure of information content of an individual finite object, a similarly absolute notion is needed for the relation between a...
Péter Gács, John Tromp, Paul M. B. V...
78
Voted
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 3 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
PLDI
2000
ACM
15 years 2 months ago
Functional reactive programming from first principles
Functional Reactive Programming, or FRP, is a general framework for programming hybrid systems in a high-level, declarative manner. The key ideas in FRP are its notions of behavio...
Zhanyong Wan, Paul Hudak
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 9 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...