Chess as Sequential Data in a Chess Match Outcome Prediction Using Deep Learning with Various Chessboard Representations.
Rafal DrezewskiGrzegorz WatorPublished in: KES (2021)
Keyphrases
- deep learning
- sequential data
- unsupervised feature learning
- hidden markov models
- outcome prediction
- unsupervised learning
- fixed length
- machine learning
- weakly supervised
- sequence data
- sequential patterns
- spatio temporal
- sequential pattern mining
- variable length
- pattern mining
- information retrieval
- mental models
- data mining