How good is your predictor? Expanding confidence intervals to define probability densities on adaptive parameters.
Mark DzwonczykTeresa H.-Y. MengPublished in: ICASSP (1999)
Keyphrases
- confidence intervals
- probability density
- maximum likelihood estimation
- probability density function
- gaussian mixture
- density estimation
- density function
- stochastic systems
- markov chain
- sample size
- probability distribution
- gaussian mixture model
- information retrieval
- stopping rules
- density ratio
- monte carlo
- model selection
- prior knowledge
- optimal solution
- training data