Ensemble methods for classification of patients for personalized medicine with high-dimensional data.
Hojin MoonHongshik AhnRalph L. KodellSongjoon BaekChien-Ju LinJames J. ChenPublished in: Artif. Intell. Medicine (2007)
Keyphrases
- high dimensional data
- ensemble methods
- high dimensionality
- machine learning methods
- dimensionality reduction
- decision trees
- low dimensional
- benchmark datasets
- regression problems
- nearest neighbor
- high dimensional
- data sets
- generalization ability
- random forests
- feature space
- pattern recognition
- ensemble learning
- classification accuracy
- clustering high dimensional data
- subspace clustering
- feature vectors
- data analysis
- input space
- random forest
- machine learning
- multivariate temporal data
- base classifiers
- supervised learning
- support vector machine
- feature extraction
- gene expression data
- text classification
- image classification
- base learners
- data distribution
- data mining
- input data
- prediction accuracy
- data points
- feature selection
- subspace methods
- support vector machine svm
- cost sensitive
- feature subset
- classification algorithm
- svm classifier
- machine learning algorithms
- genetic programming
- feature set
- support vector
- training data
- neural network