On the challenges of learning with inference networks on sparse, high-dimensional data.
Rahul G. KrishnanDawen LiangMatthew D. HoffmanPublished in: CoRR (2017)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- active learning
- nearest neighbor
- data sets
- subspace clustering
- high dimensionality
- learning algorithm
- data points
- manifold learning
- high dimensions
- data analysis
- neural network
- original data
- dimension reduction
- database
- subspace learning
- nonlinear dimensionality reduction
- high dimensional data sets