Time series: theory and methods
Time series: theory and methods
Advances in Large Margin Classifiers
Advances in Large Margin Classifiers
Machine Learning
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Multiresolution forecasting for futures trading using wavelet decompositions
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
This paper presents a novel method for predicting the stock index based on the multiclass classification. The strategy firstly discretizes the stock index to different interval and assigns a class label to each interval, which yields a multiclass classification problem. After briefly reviewing multiclass classification algorithm, a multiclass classifier based on analytical center of version space is proposed and applied to stock index prediction. Experiments on shanghai stock index demonstrates that the strategy of stock index prediction proposed is validated and of practical value.