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» Using fMRI to Test Models of Complex Cognition
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ASPDAC
2006
ACM
141views Hardware» more  ASPDAC 2006»
15 years 1 months ago
Depth-driven verification of simultaneous interfaces
The verification of modern computing systems has grown to dominate the cost of system design, often with limited success as designs continue to be released with latent bugs. This t...
Ilya Wagner, Valeria Bertacco, Todd M. Austin
BMCBI
2008
166views more  BMCBI 2008»
14 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
BMCBI
2006
148views more  BMCBI 2006»
14 years 10 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
ISBI
2008
IEEE
15 years 10 months ago
Quantified brain asymmetry for age estimation of normal and AD/MCI subjects
We propose a quantified asymmetry based method for age estimation. Our method uses machine learning to discover automatically the most discriminative asymmetry feature set from di...
Leonid Teverovskiy, James T. Becker, Oscar L. Lope...
HAIS
2009
Springer
15 years 1 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...