MDL estimation for small sample sizes and its application to segmenting binary strings.
Byron DomPublished in: CVPR (1997)
Keyphrases
- sample size
- binary strings
- model selection
- small sample
- random sample
- random sampling
- upper bound
- statistical tests
- genetic algorithm
- statistical power
- small samples
- hamming distance
- hypothesis tests
- random samples
- variance reduction
- sequence data
- confidence intervals
- importance sampling
- worst case
- objective function
- reinforcement learning
- image segmentation
- machine learning