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» Predicting Time Series with Support Vector Machines
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131
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BMCBI
2008
114views more  BMCBI 2008»
15 years 3 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
131
Voted
ICMLA
2008
15 years 5 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
139
Voted
BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
15 years 10 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
114
Voted
DEXA
2010
Springer
177views Database» more  DEXA 2010»
15 years 4 months ago
Enhanced Foundry Production Control
Mechanical properties are the attributes that measure the faculty of a metal to withstand several loads and tensions. Specifically, ultimate tensile strength is the force a materia...
Javier Nieves, Igor Santos, Yoseba K. Penya, Felix...
126
Voted
EUROSYS
2007
ACM
16 years 23 days ago
Exploiting nonstationarity for performance prediction
Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transactio...
Christopher Stewart, Terence Kelly, Alex Zhang