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» Classifying Problems into Complexity Classes
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95
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CORR
2006
Springer
154views Education» more  CORR 2006»
15 years 17 days ago
How Hard Is Bribery in Elections?
We study the complexity of influencing elections through bribery: How computationally complex is it for an external actor to determine whether by paying certain voters to change t...
Piotr Faliszewski, Edith Hemaspaandra, Lane A. Hem...
86
Voted
PRL
2006
93views more  PRL 2006»
15 years 13 days ago
ROC curves and video analysis optimization in intestinal capsule endoscopy
Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of ...
Fernando Vilariño, Ludmila I. Kuncheva, Pet...
111
Voted
BMCBI
2006
111views more  BMCBI 2006»
15 years 17 days ago
PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
Tomer Hertz, Chen Yanover
91
Voted
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
15 years 6 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
ISDA
2010
IEEE
14 years 10 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal