A Novel Distributed Machine Learning Method for Classification: Parallel Covering Algorithm.
Yanping ZhangYuehua WangShu ZhaoPublished in: RSKT (2012)
Keyphrases
- classification method
- classification algorithm
- preprocessing
- support vector machine svm
- machine learning
- accuracy rate
- benchmark data sets
- dynamic programming
- experimental evaluation
- objective function
- learning algorithm
- clustering method
- cost function
- improved algorithm
- detection algorithm
- recognition algorithm
- machine learning methods
- detection method
- optimization algorithm
- computationally efficient
- input data
- computational cost
- high accuracy
- classification scheme
- parallel implementation
- matching algorithm
- significant improvement
- k means
- machine learning algorithms
- optimization method
- pattern recognition
- support vector machine
- segmentation algorithm
- classification trees
- nearest neighbour
- computational complexity
- energy function
- decision tree algorithm
- segmentation method
- tree structure
- preprocessing stage
- optimal solution
- training phase
- convergence rate
- decision tree induction algorithm
- selection algorithm
- decision trees
- extracted features
- similarity measure
- classification procedure
- transductive inference
- combination of multiple classifiers
- classification accuracy
- text classification
- feature selection
- em algorithm
- nearest neighborhood
- training process
- image segmentation
- feature extraction
- feature space
- data mining
- training samples
- model selection
- labeling process
- probabilistic model
- feature set