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» A hierarchical model of data locality
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ICML
2005
IEEE
14 years 8 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
BMCBI
2008
159views more  BMCBI 2008»
13 years 7 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
HPCA
1997
IEEE
13 years 12 months ago
A Performance Comparison of Hierarchical Ring- and Mesh-Connected Multiprocessor Networks
This paper compares the performance of hierarchical ring- and mesh-connected wormhole routed shared memory multiprocessor networks in a simulation study. Hierarchical rings are in...
Govindan Ravindran, Michael Stumm
CRV
2004
IEEE
159views Robotics» more  CRV 2004»
13 years 11 months ago
Attending to Visual Motion: Localizing and Classifying Affine Motion Patterns
The Selective Tuning Model is a proposal for modelling visual attention in primates and humans. This paper describes ongoing research to include attention to motion stimuli within ...
John K. Tsotsos, Marc Pomplun, Julio C. Martinez-T...
I3E
2001
135views Business» more  I3E 2001»
13 years 9 months ago
Hierarchical Knowledge and Meta-Observations
: We present a model machinery for the generation of aggregating views of knowledge, the coupling of localized knowledge, and for carrying out metaobservations, which record the dy...
Reinhard Riedl