GIBBONR: An R package for the detection and classification of acoustic signals using machine learning.
Dena J. ClinkHolger KlinckPublished in: CoRR (2019)
Keyphrases
- machine learning
- acoustic signals
- acoustic signal
- pattern recognition
- machine learning methods
- decision trees
- supervised machine learning
- support vector machine
- feature selection
- text classification
- automatic classification
- support vector
- classification scheme
- robust detection
- learning algorithm
- microcalcification clusters
- detection algorithm
- machine learning approaches
- inductive learning
- benchmark datasets
- machine learning algorithms
- detection method
- neural network
- model selection
- supervised learning
- classification accuracy
- unsupervised learning
- computer vision
- feature extraction
- class labels
- information extraction
- classification rules
- detection rate
- data sets
- data mining
- reinforcement learning
- preprocessing
- feature space
- active learning
- classification models
- pattern classification
- learning tasks
- kernel methods
- multi class
- object detection
- feature set
- support vector machine svm
- training samples