Statistical Sparse Independence Rule for High-Dimensional Classification.
Liping WangChangtai JiShanggao XieQi ZhangPublished in: WI Workshops (2016)
Keyphrases
- high dimensional
- feature space
- high dimensionality
- sparse data
- classification rules
- pattern recognition
- rule sets
- classification method
- dimensionality reduction
- statistical analysis
- text classification
- classification accuracy
- pattern classification
- high dimension
- classification scheme
- decision trees
- automatic classification
- image classification
- rule learning
- feature extraction
- training samples
- rule discovery
- dimension reduction
- machine learning methods
- maximum entropy modeling
- statistical models
- feature selection
- high dimensional data
- data sets
- training set
- random projections
- active learning
- input space
- nearest neighbor
- feature set
- low dimensional
- variable selection
- support vector machine
- feature vectors
- unsupervised learning
- machine learning
- small sample size
- support vector machine svm