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» Dependence Modeling for Stochastic Simulation
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139
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ATAL
2008
Springer
15 years 5 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
143
Voted
DFT
2005
IEEE
200views VLSI» more  DFT 2005»
15 years 9 months ago
Data Dependent Jitter (DDJ) Characterization Methodology
A new jitter model is developed using Matlab and Spice to analyze Data Dependent Jitter (DDJ) in serial data integrated circuits. The simulation results show that DDJ is dependent...
Kyung Ki Kim, Yong-Bin Kim, Fabrizio Lombardi
135
Voted
CGI
2006
IEEE
15 years 9 months ago
Quasi-physical Simulation of Large-Scale Dynamic Forest Scenes
This paper presents a quasi-physically based approach for interactively simulating large-scale dynamic forest scenes under different wind conditions. We introduce theories from th...
Long Zhang, Chengfang Song, Qifeng Tan, Wei Chen, ...
169
Voted
INTERSPEECH
2010
14 years 10 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
124
Voted
WSC
2001
15 years 5 months ago
The design of a web-based training system for simulation analysis
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
Yu-Hui Tao, Shin-Ming Guo