Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest.
Guangzhe FanZhou WangSeoung Bum KimChivalai TemiyasathitPublished in: ICISP (2010)
Keyphrases
- random forest
- nmr spectra
- feature set
- wavelet domain
- feature selection
- decision trees
- classification accuracy
- high resolution
- feature extraction
- high frequency
- wavelet coefficients
- denoising
- feature vectors
- wavelet transform
- feature space
- support vector
- text classification
- multiscale
- machine learning
- multiresolution
- pattern recognition
- feature subset
- image classification
- text categorization
- support vector machine
- multi label
- multi class
- subband
- naive bayes
- class labels
- nearest neighbor
- high dimensionality
- unsupervised learning
- base classifiers
- image processing
- dimensionality reduction
- svm classifier
- machine learning methods
- dimension reduction
- supervised learning