64 citations · 77 across the 11 of their papers we have counts for
7 papers · 1 filter
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue +2
This paper proposes a dual-supervised uncertainty inference (DS-UI) framework for improving Bayesian estimation-based uncertainty inference (UI) in deep neural network (DNN)-based…
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Jiyang Xie, Zhanyu Ma, and Jianjun Lei +4
Due to lack of data, overfitting ubiquitously exists in real-world applications of deep neural networks (DNNs). We propose advanced dropout, a model-free methodology, to mitigate o…
Impacts of Weather Conditions on District Heat System
Jiyang Xie, Zhanyu Ma, Jun Guo
Using artificial neural network for the prediction of heat demand has attracted more and more attention. Weather conditions, such as ambient temperature, wind speed and direct sola…
Dirichlet Mixture Model based VQ Performance Prediction for Line Spectral Frequency
Zhanyu Ma
In this paper, we continue our previous work on the Dirichlet mixture model (DMM)-based VQ to derive the performance bound of the LSF VQ. The LSF parameters are transformed into th…
Classification of EEG Signal based on non-Gaussian Neutral Vector
Zhanyu Ma
In the design of brain-computer interface systems, classification of Electroencephalogram (EEG) signals is the essential part and a challenging task. Recently, as the marginalized…
SEA: A Combined Model for Heat Demand Prediction
Jiyang Xie, Jiaxin Guo, Zhanyu Ma +4
Heat demand prediction is a prominent research topic in the area of intelligent energy networks. It has been well recognized that periodicity is one of the important characteristic…
Infinite Mixture of Inverted Dirichlet Distributions
Zhanyu Ma, Yuping Lai
In this work, we develop a novel Bayesian estimation method for the Dirichlet process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very flexible…