Compactness Hypothesis, Potential Functions, and Rectifying Linear Space in Machine Learning.
Vadim MottlOleg SeredinOlga KrasotkinaPublished in: Braverman Readings in Machine Learning (2017)
Keyphrases
- potential functions
- linear space
- machine learning
- markov random field
- maximum entropy
- space efficient
- pairwise
- external memory
- nearest neighbor search
- learning algorithm
- decision trees
- random fields
- computer vision
- data structure
- arbitrary shape
- memory space
- image processing
- database management systems
- non stationary
- energy function
- tree structure
- higher order
- multiscale