Online Learning With Incremental Feature Space and Bandit Feedback.
Shilin GuTingjin LuoMing HeChenping HouPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- online learning
- feature space
- high dimensional
- mean shift
- higher education
- e learning
- regret bounds
- incremental learning
- online course
- active learning
- computer mediated
- feature selection
- feature vectors
- classification accuracy
- distance education
- training samples
- relevance feedback
- data points
- input space
- input data
- training set
- distance learning
- high dimensionality
- dimension reduction
- support vector machine
- dimensionality reduction
- principal component analysis
- image retrieval
- blended learning
- feature extraction
- random sampling
- markov chain
- classroom learning
- image representation
- linear discriminant analysis
- kernel methods
- kernel function
- hyperplane
- data sets
- lower bound
- support vector
- kernel pca
- online algorithms
- image processing
- machine learning