Mitigating the impact of mislabeled data on deep predictive models: an empirical study of learning with noise approaches in software engineering tasks.
Jian ShenZhong LiYifei LuMinxue PanXuandong LiPublished in: Autom. Softw. Eng. (2024)
Keyphrases
- learned models
- learning models
- accurate models
- prior knowledge
- experimental data
- data analysis
- bayesian methods
- data mining tasks
- data sets
- training data
- database
- learning algorithm
- relational models
- learning process
- data sources
- previously learned
- data collection
- historical data
- predictive model
- online learning
- software engineering
- data structure
- random noise
- high dimensional data
- multiple tasks
- learning tasks
- classification models
- image data
- probabilistic model
- data mining models
- large scale data sets
- deep architectures
- statistical methods
- background knowledge
- unsupervised learning
- input data
- object oriented
- high dimensional
- reinforcement learning
- e learning
- machine learning
- data mining