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109
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WSC
2004
15 years 4 months ago
Exploiting Temporal Uncertainty in Process-Oriented Distributed Simulations
Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The a...
Margaret L. Loper, Richard M. Fujimoto
DAM
2010
92views more  DAM 2010»
15 years 2 months ago
Enumeration of matchings in families of self-similar graphs
The number of matchings of a graph G is an important graph parameter in various contexts, notably in statistical physics (dimer-monomer model). Following recent research on graph p...
Elmar Teufl, Stephan Wagner
106
Voted
NPL
2000
95views more  NPL 2000»
15 years 2 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
134
Voted
ICFP
2005
ACM
16 years 2 months ago
Simple, partial type-inference for System F based on type-containment
We explore partial type-inference for System F based on type-containment. We consider both cases of a purely functional semantics and a call-by-value stateful semantics. To enable...
Didier Rémy
105
Voted
PLDI
2006
ACM
15 years 8 months ago
An experimental analysis of self-adjusting computation
Dependence graphs and memoization can be used to efficiently update the output of a program as the input changes dynamically. Recent work has studied techniques for combining the...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Kan...