18 citations · 82 across the 21 of their papers we have counts for
4 papers · 1 filter
Stock Prices Prediction using Deep Learning Models
Jialin Liu, Fei Chao, Yu-Chen Lin +1
Financial markets have a vital role in the development of modern society. They allow the deployment of economic resources. Changes in stock prices reflect changes in the market. In…
Gradient Boost with Convolution Neural Network for Stock Forecast
Jialin Liu, Chih-Min Lin, Fei Chao
Market economy closely connects aspects to all walks of life. The stock forecast is one of task among studies on the market economy. However, information on markets economy contain…
Decoder Choice Network for Meta-Learning
Jialin Liu, Fei Chao, Longzhi Yang +2
Meta-learning has been widely used for implementing few-shot learning and fast model adaptation. One kind of meta-learning methods attempt to learn how to control the gradient desc…
Deep Reinforcement Learning for General Video Game AI
Ruben Rodriguez Torrado, Philip Bontrager, Julian Togelius +2
The General Video Game AI (GVGAI) competition and its associated software framework provides a way of benchmarking AI algorithms on a large number of games written in a domain-spec…