A Learning Framework with Disposable Auxiliary Networks for Early Prediction of Product Success.
Chih-Ting YehZhe-Li LinSheng-Chieh LinJing-Kai LouMing-Feng TsaiChuan-Ju WangPublished in: WI/IAT (2021)
Keyphrases
- learning algorithm
- learning process
- knowledge acquisition
- learning scheme
- learning systems
- distributed cognition
- probabilistic model
- connectionist networks
- background knowledge
- imitation learning
- machine learning
- recurrent networks
- learning mechanism
- conceptual framework
- design principles
- learning analytics
- prediction model
- learning tasks
- quality of service
- prediction accuracy
- unsupervised learning
- online learning
- active learning
- prior knowledge
- reinforcement learning