bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R.
Jun WooJinhua WangPublished in: J. Stat. Softw. (2022)
Keyphrases
- high dimensional
- discrete data
- low dimensional
- dimensionality reduction
- learning process
- bayesian networks
- decision trees
- learning environment
- parameter space
- multi dimensional
- feature space
- high dimensional data
- similarity search
- high dimensionality
- support vector
- probabilistic inference
- discrete geometry
- learning materials
- language learning
- continuous variables
- inference process
- sparse data
- bayesian inference
- rule learner
- nearest neighbor
- e learning
- machine learning
- high dimensional spaces
- inertia weight particle swarm optimization
- rule learning
- spherical harmonics
- finite number
- metric space
- microarray data
- graphical models
- feature selection