Utilizing Macroeconomic Factors for Sector Rotation based on Interpretable Machine Learning and Explainable AI.
Ye ZhuChao YiYixin ChenPublished in: IEEE BigData (2020)
Keyphrases
- machine learning
- artificial intelligence
- pattern recognition
- knowledge representation
- computational intelligence
- learning tasks
- factors that influence
- data mining
- machine learning algorithms
- machine learning methods
- learning problems
- factors that affect
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- explanation based learning
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- learning systems
- ai methods
- semi supervised learning
- model selection
- learning algorithm
- information extraction
- expert systems
- statistical methods
- natural language
- reinforcement learning
- machine learning approaches
- natural language processing
- inductive learning
- decision trees
- supervised learning
- intelligent systems
- rotation invariant
- computer vision
- knowledge representation and reasoning
- key factors
- ai researchers
- machine intelligence
- data analysis
- invariant features
- active learning
- long term
- case based reasoning
- neural network
- decision makers