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» Generality Is Predictive of Prediction Accuracy
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PR
2008
129views more  PR 2008»
13 years 9 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
TIT
2002
164views more  TIT 2002»
13 years 8 months ago
On the generalization of soft margin algorithms
Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
John Shawe-Taylor, Nello Cristianini
ASPDAC
2008
ACM
107views Hardware» more  ASPDAC 2008»
13 years 11 months ago
Full-chip thermal analysis for the early design stage via generalized integral transforms
The capability of predicting the temperature profile is critically important for timing estimation, leakage reduction, power estimation, hotspot avoidance and reliability concerns ...
Pei-Yu Huang, Chih-Kang Lin, Yu-Min Lee
UAI
2004
13 years 10 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling
IPMI
2011
Springer
13 years 14 days ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh