High Dimensional Feature Selection via a Slow Intelligence Approach.
Yingze WangShi-Kuo ChangPublished in: DMS (2011)
Keyphrases
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- feature space
- microarray data
- small sample
- gene expression data
- dimension reduction
- high dimension
- similarity search
- feature set
- high dimensional data
- low dimensional
- intelligent systems
- small sample size
- artificial intelligence
- nearest neighbor
- text categorization
- support vector
- variable selection
- multi dimensional
- data points
- feature extraction
- sparse data
- feature subset
- high dimensional spaces
- model selection
- text classification
- feature ranking
- support vector machine
- knn
- classification accuracy
- method for feature selection
- selected features
- machine intelligence
- naive bayes
- metric space
- noisy data
- machine learning
- pattern recognition
- multi task
- parameter space
- collective intelligence
- linear discriminant analysis
- unsupervised learning
- multi class
- query processing
- face recognition
- informative features
- high dimensional problems
- redundant features
- learning algorithm