CVSL Logo
FrancaisHome
AboutPeopleResearchPublicationsEventsProfile
About
REPARTI Seminars


The REPARTI Seminars at Université Laval are held on Fridays at 11:30 a.m.
Please see the program for more details.
Dec 15 2017 11:00AM
Seminar
Building and Evaluating Data-Driven Neural Dialogue Systems

 

 

 

REPARTI

MIVIM

Mar 1 2013 11:30AM

Yali Wang
Laboratoire DAMAS


A Marginalized Particle Gaussian Process Regression



Abstract

We present a novel marginalized particle Gaussian process (MPGP) regression, which provides a fast, accurate online Bayesian filtering framework to model the latent function. Using a state space model established by the data construction procedure, our MPGP recursively filters out the estimation of hidden function values by a Gaussian mixture. Meanwhile, it provides a new online method for training hyperparameters with a number of weighted particles. We demonstrate the estimated performance of our MPGP on both simulated and real large data sets. The results show that our MPGP is a robust estimation algorithm with high computational efficiency, which outperforms other state-of-art sparse GP methods.




     
   
   

©2002-. Computer Vision and Systems Laboratory. All rights reserved