Scalable Algorithms for Learning High-Dimensional Linear Mixed Models.
Zilong TanKimberly RocheXiang ZhouSayan MukherjeePublished in: CoRR (2018)
Keyphrases
- learning algorithm
- learning models
- high dimensional
- prior knowledge
- noise tolerant
- linear models
- noisy data
- machine learning algorithms
- learning process
- learning paradigms
- learned models
- estimation problems
- computational complexity
- reinforcement learning
- high dimensional spaces
- highly scalable
- hidden variables
- linear model
- memory efficient
- discrete data
- learning tasks
- accurate models
- nearest neighbor
- knn
- probabilistic model
- significant improvement
- scale poorly
- nonlinear models
- mathematical models
- learning systems
- computational cost
- active learning
- data structure
- decision trees