Utilizing Machine Learning and 3D Neuroimaging to Predict Hearing Loss: A Comparative Analysis of Dimensionality Reduction and Regression Techniques.
Trinath Sai Subhash Reddy PittalaUma Maheswara R. MeletiManasa ThatipamulaPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- machine learning
- pattern recognition
- classification and regression problems
- feature selection
- model selection
- regression model
- data representation
- feature extraction
- human brain
- principal component analysis
- high dimensional
- high dimensionality
- high dimensional data
- low dimensional
- machine learning algorithms
- linear discriminant analysis
- linear regression
- sign language
- active learning
- structure preserving
- metric learning
- support vector machine
- machine learning methods
- principal components
- decision trees
- mercer kernels
- locally weighted
- support vector regression
- natural language processing
- text classification
- feature space
- data analysis
- support vector
- text mining
- learning tasks
- information extraction
- gaussian processes
- regression analysis
- computer vision
- regression problems
- data mining
- protein secondary structure prediction
- pattern recognition and machine learning
- learning algorithm