QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.
Ardjan ZwartjesPaul J. M. HavingaGerard J. M. SmitJohann L. HurinkPublished in: Sensors (2016)
Keyphrases
- supervised learning
- learning algorithm
- classification algorithm
- computationally efficient
- unsupervised learning
- pattern recognition
- pattern classification
- supervised and unsupervised learning
- machine learning methods
- classification accuracy
- class labels
- computationally expensive
- theoretical analysis
- benchmark datasets
- machine learning
- highly efficient
- computationally intensive
- supervised machine learning
- computationally complex
- online learning
- computational cost
- training set
- instance selection
- accurate classification
- data structure
- statistical learning
- learning tasks
- preprocessing
- classification method
- semi supervised
- training data
- neural network
- sufficient training data
- supervised learning algorithms
- decision trees
- online algorithms
- computational complexity
- nearest neighbour
- data streams
- support vector machine
- machine learning algorithms
- worst case
- feature set
- optimization problems