Latent Variable Dimensionality Reduction Using a Kullback-Leibler Criterion and Its Application to Predict Antidepressant Treatment Response.
Ahmad Khodayari-RostamabadJames P. ReillyGary M. HaseyPublished in: PRNI (2013)
Keyphrases
- kullback leibler
- latent variables
- dimensionality reduction
- divergence measure
- kl divergence
- posterior distribution
- probabilistic model
- distance measure
- kullback leibler divergence
- cross entropy
- random variables
- prior knowledge
- high dimensional data
- topic models
- feature selection
- feature extraction
- low dimensional
- gaussian process
- high dimensional
- hidden variables
- data points
- information theoretic
- mutual information
- probabilistic latent semantic analysis
- graphical models
- principal component analysis
- mahalanobis distance
- feature space
- similarity measure