Practical Algorithms for Learning Near-Isometric Linear Embeddings.
Jerry LuoKayla ShapiroHao-Jun Michael ShiQi YangKan ZhuPublished in: CoRR (2016)
Keyphrases
- learning algorithm
- noise tolerant
- orders of magnitude
- knowledge acquisition
- learning process
- optimization problems
- learning tasks
- real world
- data structure
- computationally efficient
- background knowledge
- euclidean space
- lower bound
- computational complexity
- evolutionary algorithm
- active learning
- supervised learning
- theoretical analysis
- reinforcement learning
- inductive inference
- practical problems