Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware.

Zhuo Wang Robert E. Schapire Naveen Verma

Published in: ICASSP (2014)

Keyphrases

fault tolerant
data driven
training error
fault tolerance
boosted classifiers
adaboost algorithm
training process
error detection
training set
training examples
error rate

discriminative classifiers
distributed systems
generalization error
training samples
weak learners
learning algorithm
feature selection
training data
ensemble learning
weak classifiers

low cost
state machine
high availability
load balancing
decision stumps
support vector machine
face detection
ensemble classifier
boosting algorithms
supervised learning

evolvable hardware
decision trees
active learning
object detectors
safety critical
computer architecture
feature set
multiple classifier systems
computer systems
operating system