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JMLR
2008
131views more  JMLR 2008»
15 years 6 months ago
On Relevant Dimensions in Kernel Feature Spaces
We show that the relevant information of a supervised learning problem is contained up to negligible error in a finite number of leading kernel PCA components if the kernel matche...
Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert M...
211
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JMM2
2008
124views more  JMM2 2008»
15 years 6 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang
JAIR
2006
74views more  JAIR 2006»
15 years 6 months ago
Understanding Algorithm Performance on an Oversubscribed Scheduling Application
The best performing algorithms for a particular oversubscribed scheduling application, Air Force Satellite Control Network (AFSCN) scheduling, appear to have little in common. Yet...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
CSL
2007
Springer
15 years 6 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
JBI
2006
15 years 6 months ago
Granularity, scale and collectivity: When size does and does not matter
Bridging levels of ``granularity'' and ``scale'' are frequently cited as key problems for biomedical informatics. However, detailed accounts of what is meant b...
Alan L. Rector, Jeremy Rogers, Thomas Bittner
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