摘要：花了一个周读了一下这篇论文，是最近接受在IJCAI上的一篇关于股票涨跌预测的模型，驳斥了传统方法基于静态输入的局限性，原因是由于股票的价格会在市场内随着时间不短变化，基于价格的特征实际上是随机变量。方法是采用对抗训练，在训练过程中加入随机噪声模拟股票在实际中收外界干扰的过程，模型是采用常规的深度学习 阅读全文

摘要：Stock Market Prediction Based on Generative Adversarial Network Department of Computer Science and Technology, Ocean University of China, Qingdao, 266 阅读全文

摘要：Deep Learning for Event-Driven Stock Prediction Reading time:2019/3/30-2019/4/12 Theme:Deep learning; CNN; NLP Abstract: We propose a deep learning me 阅读全文

摘要：Using generative adversarial networks for improving classifification effectiveness in credit card fraud detection Abstract: In the last years, the num 阅读全文