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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
BMCBI
2006
120views more  BMCBI 2006»
13 years 7 months ago
Optimizing amino acid substitution matrices with a local alignment kernel
Background: Detecting remote homologies by direct comparison of protein sequences remains a challenging task. We had previously developed a similarity score between sequences, cal...
Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
BMCBI
2005
100views more  BMCBI 2005»
13 years 7 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
TSE
2008
107views more  TSE 2008»
13 years 7 months ago
Interface Grammars for Modular Software Model Checking
We propose an interface specification language based on grammars for modular software model checking. In our interface specification language, component interfaces are specified a...
Graham Hughes, Tevfik Bultan
CVGIP
2000
89views more  CVGIP 2000»
13 years 7 months ago
3D Volume Rotation Using Shear Transformations
We presenta group of methods of decomposingan arbitrary 3D volume rotation into a sequenceof simple shear(i.e., regular shift) operations. We explore different types of shear oper...
Baoquan Chen, Arie E. Kaufman