Parameter Estimation and Model Selection in Computational Biology.
Gabriele LillacciMustafa KhammashPublished in: PLoS Comput. Biol. (2010)
Keyphrases
- computational biology
- model selection
- parameter estimation
- machine learning
- cross validation
- hyperparameters
- protein sequences
- sample size
- natural language processing
- mixture model
- statistical models
- regression model
- statistical learning
- selection criterion
- approximate inference
- random fields
- parameter estimation algorithm
- feature selection
- posterior distribution
- parameter values
- likelihood function
- gaussian process
- least squares
- variable selection
- data mining
- information criterion
- bayesian model selection
- artificial intelligence
- learning machines
- information retrieval
- computer vision
- video sequences
- prior knowledge
- information extraction