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» Statistic Analysis for Probabilistic Processes
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ESANN
2006
13 years 10 months ago
Stochastic Processes for Canonical Correlation Analysis
We consider two stochastic process methods for performing canonical correlation analysis (CCA). The first uses a Gaussian Process formulation of regression in which we use the cur...
Colin Fyfe, Gayle Leen
ESANN
2006
13 years 10 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe
IWSEC
2007
Springer
14 years 3 months ago
Processing Multi-parameter Attacktrees with Estimated Parameter Values
Abstract. Authors extend the multi-parameter attacktree model to include inaccurate or estimated parameter values, which are modelled as probabilistic interval estimations. The pap...
Aivo Jürgenson, Jan Willemson
FPGA
2010
ACM
250views FPGA» more  FPGA 2010»
14 years 6 months ago
Variation-aware placement for FPGAs with multi-cycle statistical timing analysis
Deep submicron processes have allowed FPGAs to grow in complexity and speed. However, such technology scaling has caused FPGAs to become more susceptible to the effects of process...
Gregory Lucas, Chen Dong, Deming Chen
SIGIR
1999
ACM
14 years 1 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann