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» Ensemble classifier for protein fold pattern recognition
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BMCBI
2005
85views more  BMCBI 2005»
13 years 6 months ago
Prediction of twin-arginine signal peptides
Background: Proteins carrying twin-arginine (Tat) signal peptides are exported into the periplasmic compartment or extracellular environment independently of the classical Secdepe...
Jannick Dyrløv Bendtsen, Henrik Nielsen, Da...
BMCBI
2004
101views more  BMCBI 2004»
13 years 6 months ago
A database for G proteins and their interaction with GPCRs
Background: G protein-coupled receptors (GPCRs) transduce signals from extracellular space into the cell, through their interaction with G proteins, which act as switches forming ...
Antigoni L. Elefsinioti, Pantelis G. Bagos, Ioanni...
MCS
2004
Springer
14 years 8 days ago
Learn++.MT: A New Approach to Incremental Learning
An ensemble of classifiers based algorithm, Learn++, was recently introduced that is capable of incrementally learning new information from datasets that consecutively become avail...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
SMC
2007
IEEE
156views Control Systems» more  SMC 2007»
14 years 1 months ago
Dynamic fusion of classifiers for fault diagnosis
—This paper considers the problem of temporally fusing classifier outputs to improve the overall diagnostic classification accuracy in safety-critical systems. Here, we discuss d...
Satnam Singh, Kihoon Choi, Anuradha Kodali, Krishn...
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 7 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...