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20182022
most citedAdvanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

64 citations · 77 across the 11 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.LG2018

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…

cs.SD2018★ 1 cited

Statistical Speech Model Description with VMF Mixture Model

Zhanyu Ma, Arne Leijon

In this paper, we present the LSF parameters by a unit vector form, which has directional characteristics. The underlying distribution of this unit vector variable is modeled by a…

cs.SD2018

Histogram Transform-based Speaker Identification

Zhanyu Ma, Hong Yu

A novel text-independent speaker identification (SI) method is proposed. This method uses the Mel-frequency Cepstral coefficients (MFCCs) and the dynamic information among adjacent…

cs.LG2018

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…

cs.LG2018

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…

cs.LG2018

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…

cs.LG2018

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…