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BMCBI
2007
91views more  BMCBI 2007»
15 years 4 months ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
CN
2007
149views more  CN 2007»
15 years 4 months ago
Adaptive congestion protocol: A congestion control protocol with learning capability
There is strong evidence that the current implementation of TCP will perform poorly in future high speed networks. To address this problem many congestion control protocols have b...
Marios Lestas, Andreas Pitsillides, Petros A. Ioan...
BMCBI
2007
147views more  BMCBI 2007»
15 years 4 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
ALT
2001
Springer
15 years 9 months ago
Learning Coherent Concepts
We develop a theory for learning scenarios where multiple learners co-exist but there are mutual compatibility constraints on their outcomes. This is natural in cognitive learning...
Ashutosh Garg, Dan Roth
CIS
2008
Springer
15 years 6 months ago
Cooperation Controlled Competitive Learning Approach for Data Clustering
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
Tao Li, Wenjiang Pei, Shao-ping Wang, Yiu-ming Che...