Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models.
Xia ZhaoPengfei LiKaitai XiaoXiangning MengLu HanChongchong YuPublished in: Sensors (2019)
Keyphrases
- multi class
- learning models
- learning algorithm
- multi class classification
- base classifiers
- support vector machine
- machine learning
- binary classification problems
- feature selection
- multi class svm
- loss function
- pairwise
- binary classification
- machine learning algorithms
- learning tasks
- classification models
- semi supervised learning
- conditional random fields
- learning problems
- cost sensitive
- neural network
- support vector
- training data
- ensemble methods
- training set
- cost sensitive learning
- binary classifiers
- semi supervised
- feature space
- data sets
- feature vectors
- support vector machine svm
- svm classifier
- kernel function
- artificial neural networks
- multi task
- reinforcement learning
- kernel methods
- image segmentation