Trading representability for scalability: adaptive multi-hyperplane machine for nonlinear classification.
Zhuang WangNemanja DjuricKoby CrammerSlobodan VuceticPublished in: KDD (2011)
Keyphrases
- reinforcement learning
- hyperplane
- classification procedure
- training samples
- support vector
- decision boundary
- support vector machine
- feature space
- linearly separable
- svm classifier
- machine learning
- data points
- learning algorithm
- high dimensional feature space
- simple linear
- classification accuracy
- image classification
- feature extraction
- pattern recognition
- pattern classification
- linear classifiers
- maximal margin
- principal components
- input space
- kernel function
- support vector machine svm
- training set
- decision trees
- incremental learning algorithm
- linear separability
- neural network
- markov decision processes
- convex hull
- support vectors
- model selection
- text classification
- nearest neighbor
- normal vectors
- high dimensional
- data analysis
- image processing
- feature selection
- data sets