Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference41 articles.
1. Borodin, A., El-Yaniv, R., & Gogan, V. (2011). Can we learn to beat the best stock. Journal of Artificial Intelligence Research, 21(1), 579–594.
2. Bahlmann, C., & Burkhardt, H. (2004). The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(3), 299–310.
3. Borodin, A., El-Yaniv, R., & Gogan, V. (2003). Can we learn to beat the best stock. Advances in Neural Information Processing Systems 16.
4. Cai, X., & Ye, Z. (2019). Gaussian weighting reversion strategy for accurate online portfolio selection. IEEE Transactions on Signal Processing, 67(21), 5558–5570.
5. Chu, G., Zhang, W., Sun, G., et al. (2019). A new online portfolio selection algorithm based on kalman filter and anti-correlation. Physica A: Statistical Mechanics and its Applications, 536(120), 949.
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