Detecting Dependencies in High-Dimensional, Sparse Databases Using Probabilistic Programming and Non-parametric Bayes.
Feras SaadVikash K. MansinghkaPublished in: CoRR (2016)
Keyphrases
- high dimensional
- databases
- sparse data
- low dimensional
- sparse coding
- database
- programming language
- relational databases
- high dimension
- similarity search
- high dimensionality
- parameter space
- bayesian networks
- variable selection
- nearest neighbor
- inclusion dependencies
- decision trees
- knowledge discovery
- support vector machine
- metric space
- conditionally independent
- generalized linear models
- uncertain data
- input space
- additive models
- high dimensional data
- generative model
- multi dimensional
- database systems
- data points
- data integration
- data model
- feature space
- probabilistic model
- data sets
- feature selection
- microsoft access
- xml documents
- programming environment
- data warehouse
- data management
- sparse representation