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110
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PCI
2005
Springer
15 years 8 months ago
Protein Classification with Multiple Algorithms
Nowadays, the number of protein sequences being stored in central protein databases from labs all over the world is constantly increasing. From these proteins only a fraction has b...
Sotiris Diplaris, Grigorios Tsoumakas, Pericles A....
166
Voted
BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
131
Voted
ICANN
2010
Springer
15 years 3 months ago
Tumble Tree - Reducing Complexity of the Growing Cells Approach
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
Hendrik Annuth, Christian-A. Bohn
142
Voted
ICPR
2002
IEEE
16 years 3 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
160
Voted
BMCBI
2006
161views more  BMCBI 2006»
15 years 2 months ago
A method for rapid similarity analysis of RNA secondary structures
Background: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolution...
Na Liu, Tianming Wang