Classification of sparsely and irregularly sampled time series: A learning in model space approach.
Yuan ShenPeter TiñoKrasimira Tsaneva-AtanasovaPublished in: IJCNN (2017)
Keyphrases
- learning scheme
- classification models
- supervised learning
- computational model
- machine learning
- learning algorithm
- prior knowledge
- probability distribution
- mathematical model
- high level
- pattern recognition
- unsupervised learning
- bayesian methods
- learning models
- incremental learning
- learning problems
- learning systems
- classification accuracy
- support vector
- machine learning algorithms
- labeled data
- neural network
- active learning
- feature vectors
- decision trees
- spatial structure