Separable Approximate Optimization of Support Vector Machines for Distributed Sensing.
Sangkyun LeeMarco StolpeKatharina MorikPublished in: ECML/PKDD (2) (2012)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- distributed environment
- cooperative
- global optimization
- optimization problems
- optimization methods
- cross validation
- peer to peer
- distributed systems
- generalization ability
- constrained optimization
- distributed data
- logistic regression
- mobile sensor
- optimization method
- optimization algorithm
- lightweight
- least squares
- mobile agents
- support vector regression
- real time
- commodity hardware
- data sets
- distributed network
- optimal solution
- multi objective
- multi class
- communication cost
- sensor networks
- kernel methods
- loss function
- query optimization