Speech-based detection of multi-class Alzheimer's disease classification using machine learning.
Tripti TripathiRakesh KumarPublished in: Int. J. Data Sci. Anal. (2024)
Keyphrases
- multi class
- support vector machine
- machine learning
- multi class classification
- multi class classifier
- multiclass classification
- object detection
- binary classifiers
- binary and multi class
- feature selection
- multiple classes
- cost sensitive
- multi class boosting
- protein classification
- class probabilities
- multiclass problems
- multi class svm
- multi class svms
- multi class object detection
- multi class classifiers
- machine learning methods
- svm classifier
- support vector machine svm
- multi class problems
- single class
- classification algorithm
- classification accuracy
- error correcting output codes
- binary classification
- support vector
- machine learning algorithms
- kernel logistic regression
- image classification
- supervised learning
- active learning
- kernel methods
- binary classification tasks
- binary classification problems
- protein sequences
- model selection
- text classification
- pairwise
- decision trees
- improve the classification accuracy
- base classifiers
- feature vectors
- feature extraction
- learning algorithm
- neural network
- data sets
- cross validation
- semi supervised learning