SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.
Rui HanChi Harold LiuShilin LiLydia Y. ChenGuoren WangJian TangJieping YePublished in: IEEE Trans. Knowl. Data Eng. (2021)
Keyphrases
- machine learning
- input data
- data sets
- small scale
- pattern recognition
- image data
- machine learning algorithms
- knowledge acquisition
- learning systems
- learning algorithm
- natural language processing
- real life
- computational intelligence
- inductive learning
- statistical learning
- data mining
- data analysis
- supervised learning
- text mining
- artificial intelligence
- genetic algorithm
- data driven
- real world
- database
- machine learning approaches
- knowledge engineering
- learning problems
- learning tasks
- information extraction
- support vector machine
- case study
- decision trees
- neural network