Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning.
Steven C. H. HoiJialei WangPeilin ZhaoRong JinPengcheng WuPublished in: ICML (2012)
Keyphrases
- online learning
- online algorithms
- online convex optimization
- highly scalable
- distance education
- data structure
- online course
- significant improvement
- distance learning
- worst case
- computer mediated
- active learning
- e learning
- learning algorithm
- highly efficient
- benchmark datasets
- higher education
- neural network
- optimization problems
- computational cost
- computational complexity
- orders of magnitude
- theoretical analysis
- blended learning
- cost function
- objective function
- online training
- online learning communities
- online learning environments
- data mining