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142
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WSC
2000
15 years 5 months ago
A comparison of five steady-state truncation heuristics for simulation
We compare the performance of five well-known truncation heuristics for mitigating the effects of initialization bias in the output analysis of steady-state simulations. Two of th...
K. Preston White, Michael J. Cobb, Stephen C. Spra...
115
Voted
MOBISYS
2006
ACM
16 years 3 months ago
Building realistic mobility models from coarse-grained traces
In this paper we present a trace-driven framework capable of building realistic mobility models for the simulation studies of mobile systems. With the goal of realism, this framew...
Jungkeun Yoon, Brian D. Noble, Mingyan Liu, Minkyo...
133
Voted
ICANN
2010
Springer
15 years 3 months ago
Computational Properties of Probabilistic Neural Networks
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
Jiri Grim, Jan Hora
131
Voted
ECCV
2010
Springer
15 years 8 months ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
127
Voted
CEC
2008
IEEE
15 years 5 months ago
Evolving scale-free topologies using a Gene Regulatory Network model
Abstract-- A novel approach to generating scale-free network topologies is introduced, based on an existing artificial Gene Regulatory Network model. From this model, different int...
Miguel Nicolau, Marc Schoenauer