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BMCBI
2006
101views more  BMCBI 2006»
15 years 6 months ago
Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives
Background: Predicting residues' contacts using primary amino acid sequence alone is an important task that can guide 3D structure modeling and can verify the quality of the ...
Petras J. Kundrotas, Emil Alexov
ICMLA
2009
15 years 4 months ago
Discovering Rules from Disk Events for Predicting Hard Drive Failures
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...
JCIT
2010
190views more  JCIT 2010»
15 years 1 months ago
Application of Feature Extraction Method in Customer Churn Prediction Based on Random Forest and Transduction
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
Yihui Qiu, Hong Li
EMNLP
2011
14 years 6 months ago
Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
AAAI
2012
13 years 8 months ago
Far Out: Predicting Long-Term Human Mobility
Much work has been done on predicting where is one going to be in the immediate future, typically within the next hour. By contrast, we address the open problem of predicting huma...
Adam Sadilek, John Krumm