7530 search results - page 153 / 1506 » Machine learning in bioinformatics |
143
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EVOW
2010
Springer
15 years 9 months ago
2010
Springer
A challenging problem in bioinformatics is the detection of residues that account for protein function specificity, not only in order to gain deeper insight in the nature of functi...
153
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HIS
2004
15 years 7 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
161
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FTML
2008
15 years 6 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
155
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SIGSOFT
2010
ACM
15 years 4 months ago
2010
ACM
Software systems are designed and engineered to process data. However, software is data too. The size and variety of today's software artifacts and the multitude of stakehold...
127
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IJCNN
2006
IEEE
16 years 5 days ago
2006
IEEE
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...