A Supervised Learning Model for High-Dimensional and Large-Scale Data.
Chong PengJie ChengQiang ChengPublished in: ACM Trans. Intell. Syst. Technol. (2017)
Keyphrases
- high dimensional
- simulation data
- experimental data
- input data
- data points
- data analysis
- sparse data
- data processing
- test data
- prior knowledge
- mathematical model
- database
- high level
- data sets
- measured data
- machine learning
- computational model
- raw data
- synthetic data
- similarity measure
- network structure
- noisy data
- empirical data
- high dimensional datasets
- low dimensional
- image data
- training data
- high dimensional data
- training samples
- unlabeled data
- spatial data
- real world
- supervised learning
- statistical methods
- probability distribution
- data sources
- xml documents
- data structure
- reinforcement learning