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» Wavelet-based estimators of scaling behavior
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NIPS
2004
13 years 9 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
GRID
2006
Springer
13 years 7 months ago
YA: Fast and Scalable Discovery of Idle CPUs in a P2P network
Discovery of large amounts of idle CPUs in fully distributed and shared Grid systems is needed in relevant applications and is still a challenging problem. In this paper we present...
Javier Celaya, Unai Arronategui
EMNLP
2010
13 years 5 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
CCGRID
2008
IEEE
13 years 9 months ago
A Probabilistic Model to Analyse Workflow Performance on Production Grids
Production grids are complex and highly variable systems whose behavior is not well understood and difficult to anticipate. The goal of this study is to estimate the impact of the ...
Tristan Glatard, Johan Montagnat, Xavier Pennec
APCSAC
2007
IEEE
14 years 1 months ago
Runtime Performance Projection Model for Dynamic Power Management
In this paper, a runtime performance projection model for dynamic power management is proposed. The model is built as a first-order linear equation using a linear regression model....
Sang Jeong Lee, Hae-Kag Lee, Pen-Chung Yew