When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models.
Alicia KrebsDenis PapernoPublished in: *SEM@ACL (2016)
Keyphrases
- semantic models
- hyperparameters
- model selection
- grid search
- cross validation
- parameter settings
- parameter space
- bayesian inference
- random sampling
- closed form
- bayesian framework
- support vector
- em algorithm
- prior information
- maximum a posteriori
- noise level
- sample size
- maximum likelihood
- incremental learning
- incomplete data
- semantic annotation
- semantic features
- parameter values
- co occurrence
- semantic information
- spatial relations
- expectation maximization
- image processing
- noisy images
- missing values
- feature set
- active learning
- training set
- object recognition
- feature selection
- latent semantic analysis
- multimedia