Performing Machine Learning Based Outlier Detection for Automotive Grade Products.
Y. L. YangP. C. TsaoC. W. LinRoss LeeOlivia NiT. T. ChenY. J. TingC. T. LaiJason YehArnold YangWayne HuangPeng ChenCharly TsaiRyan YangY. S. HuangB. C. HsuM. Z. LeeT. H. LeeMichael HuangComing ChenLiham ChuH. W. KaoN. S. TsaiPublished in: IRPS (2023)
Keyphrases
- outlier detection
- machine learning
- density ratio estimation
- knowledge discovery
- data mining
- fraud detection
- detection algorithm
- density estimation
- machine learning algorithms
- data streams
- detecting outliers
- covariate shift
- learning algorithm
- high dimensional datasets
- learning tasks
- credit card fraud detection
- distance based outlier detection
- supervised learning
- active learning
- semi supervised learning
- model selection
- least squares
- data analysis
- change point detection
- data sets
- computer vision
- outlier mining
- feature selection
- decision trees
- detect outliers
- density based clustering
- independent component analysis
- text mining
- transfer learning
- unsupervised learning
- non stationary