MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning.
Diego GranziolBin Xin RuStefan ZohrenXiaowen DongMichael A. OsborneStephen J. RobertsPublished in: CoRR (2019)
Keyphrases
- maximum entropy
- machine learning
- maximum entropy principle
- prior knowledge
- pairwise
- support vector machine
- unsupervised learning
- segmentation method
- closed form
- graphical models
- minimum cross entropy
- principle of maximum entropy
- iterative scaling
- markov models
- higher order
- information extraction
- bayesian networks
- similarity measure
- computer vision
- learning algorithm