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ICPR
2004
IEEE
16 years 4 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
133
Voted
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
15 years 7 months ago
Frequency Selective Model Order Reduction via Spectral Zero Projection
As process technology continues to scale into the nanoscale regime, interconnect plays an ever increasing role in determining VLSI system performance. As the complexity of these sy...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
NIPS
2008
15 years 5 months ago
Model selection and velocity estimation using novel priors for motion patterns
Psychophysical experiments show that humans are better at perceiving rotation and expansion than translation. These findings are inconsistent with standard models of motion integr...
Shuang Wu, Hongjing Lu, Alan L. Yuille
EMNLP
2009
15 years 1 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
BMCBI
2002
188views more  BMCBI 2002»
15 years 3 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...