A Comparative Study of Bitcoin Price Prediction Using Deep Learning
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[1] Takuya Shintate,et al. Trend Prediction Classification for High Frequency Bitcoin Time Series with Deep Learning , 2019, Journal of Risk and Financial Management.
[2] Akihiko Takahashi,et al. Bitcoin technical trading with artificial neural network , 2018 .
[3] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[4] Young Bin Kim,et al. Predicting Fluctuations in Cryptocurrency Transactions Based on User Comments and Replies , 2016, PloS one.
[5] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[6] David H. Wolpert,et al. Stacked generalization , 1992, Neural Networks.
[7] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[8] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[9] Cryptocurrencies as a Financial Asset: A Systematic Analysis , 2019 .
[10] Jaewook Lee,et al. An Empirical Study on Modeling and Prediction of Bitcoin Prices With Bayesian Neural Networks Based on Blockchain Information , 2018, IEEE Access.
[11] C. Spearman. The proof and measurement of association between two things. By C. Spearman, 1904. , 1987, The American journal of psychology.
[12] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[13] Feng Fu,et al. Sentiment-Based Prediction of Alternative Cryptocurrency Price Fluctuations Using Gradient Boosting Tree Model , 2018, Front. Phys..
[14] K. Pearson. NOTES ON THE HISTORY OF CORRELATION , 1920 .