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» Face Verification Using Error Correcting Output Codes
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ICML
2000
IEEE
14 years 6 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
ASPDAC
2006
ACM
109views Hardware» more  ASPDAC 2006»
13 years 11 months ago
Cycle error correction in asynchronous clock modeling for cycle-based simulation
— As the complexity of SoCs is increasing, hardware/software co-verification becomes an important part of system verification. C-level cycle-based simulation could be an efficien...
Junghee Lee, Joonhwan Yi
ESANN
2007
13 years 7 months ago
Ensemble neural classifier design for face recognition
A method for tuning MLP learning parameters in an ensemble classifier framework is presented. No validation set or cross-validation technique is required to optimize parameters for...
Terry Windeatt
ICCAD
1996
IEEE
141views Hardware» more  ICCAD 1996»
13 years 10 months ago
An observability-based code coverage metric for functional simulation
Functional simulation is the most widely used method for design verification. At various levels of abstraction, e.g., behavioral, register-transfer level and gate level, the design...
Srinivas Devadas, Abhijit Ghosh, Kurt Keutzer
ICML
2005
IEEE
14 years 6 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang