Publications (6)
Error Controlled Actor-Critic
Xingen Gao, Fei Chao, Changle Zhou +5
On error of value function inevitably causes an overestimation phenomenon and has a negative impact on the convergence of the algorithms. To mitigate the negative effects of the ap…
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…
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…
Adaptive Noise Cancellation Using Deep Cerebellar Model Articulation Controller
Yu Tsao, Hao-Chun Chu, Shih-Wei Lan +3
This paper proposes a deep cerebellar model articulation controller (DCMAC) for adaptive noise cancellation (ANC). We expand upon the conventional CMAC by stacking sin-gle-layer CM…
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…
Task Augmentation by Rotating for Meta-Learning
Jialin Liu, Fei Chao, Chih-Min Lin
Data augmentation is one of the most effective approaches for improving the accuracy of modern machine learning models, and it is also indispensable to train a deep model for meta-…