An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles.
Jingzhi TuGang MeiFrancesco PiccialliPublished in: J. Grid Comput. (2022)
Keyphrases
- incomplete information
- deep learning
- unsupervised learning
- unsupervised feature learning
- machine learning
- partial information
- driving simulator
- autonomous agents
- missing information
- query answering
- weakly supervised
- supervised learning
- first order logic
- multi agent
- generative model
- mental models
- data mining
- knowledge base
- artificial intelligence
- feature selection
- natural images
- expert systems
- training data