Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss.
Shai Ben-DavidDavid LokerNathan SrebroKarthik SridharanPublished in: ICML (2012)
Keyphrases
- error rate
- expected loss
- convex functions
- misclassification rate
- test set
- strictly convex
- convex optimization
- rule sets
- convex sets
- risk minimization
- data sets
- convex hull
- training error
- objective function
- cost sensitive classification
- equal error rate
- feature extraction
- lower error rates
- computer vision
- learning algorithm