Forecasting movements of stock time series based on hidden state guided deep learning approach.
Junji JiangLikang WuHongke ZhaoHengshu ZhuWei ZhangPublished in: Inf. Process. Manag. (2023)
Keyphrases
- deep learning
- hidden state
- stock market
- hidden markov models
- short term
- markov models
- stock price
- reinforcement learning
- dynamical systems
- unsupervised learning
- machine learning
- unsupervised feature learning
- partially observable
- markov model
- mental models
- maximum entropy
- partially observable markov decision processes
- conditional random fields
- decision problems
- markov chain
- domain specific
- text mining
- weakly supervised
- probabilistic model