A Log Likelihood Predictor for Genomic Classification of Oral Cancer using Principle Component Analysis for Feature Selection.
Mark E. WhippleEduardo MendezD. Gregory FarwellS. Nicholas AgoffChu ChenPublished in: MedInfo (2004)
Keyphrases
- principle component analysis
- log likelihood
- feature selection
- feature space
- classification accuracy
- feature extraction
- dimension reduction
- density estimation
- text classification
- machine learning
- support vector
- support vector machine
- svm classifier
- high dimensionality
- unsupervised learning
- information theoretic
- feature set
- training set
- decision trees
- maximum likelihood
- em algorithm
- independent component analysis
- feature vectors
- dimensionality reduction
- principal component analysis
- pattern recognition
- supervised learning
- support vector machine svm
- model selection
- data sets
- image classification
- mutual information
- text categorization
- knowledge discovery
- eeg signals
- random projections
- lower dimensional
- scoring function