Data Importance Aware Periodic Machine Learning Model Update for Sparse Mobile Crowdsensing.
Yuichi InagakiRyoichi ShinkumaTakehiro SatoEiji OkiPublished in: CCNC (2022)
Keyphrases
- machine learning
- experimental data
- data sets
- prior knowledge
- data analysis
- input data
- sparse data
- learning models
- statistical methods
- empirical data
- probabilistic model
- knowledge discovery
- test data
- training data
- probability distribution
- data points
- high level
- data processing
- data collection
- simulation data
- decision trees
- prior information
- original data
- synthetic data
- high dimensional data
- statistical analysis
- image data
- data sources
- labeled data
- computational model
- mathematical model
- similarity measure
- database
- data mining techniques
- supervised learning
- data quality
- data mining
- learned models
- objective function