Random multi-scale kernel-based Bayesian distribution regression learning-Reference-Cited by-同舟云学术

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Random multi-scale kernel-based Bayesian distribution regression learning

Published:2020-08 Issue: Volume:201-202 Page:106073
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Dong Xue-Mei,Gu Yin-He,Shi Jian,Xiang Kun

Funder

Zhejiang Gongshang University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference21 articles.

1. Latent support measure machines for bag-of-words data classification;Yoshikawa,2014

2. Understanding the 2016 US presidential election using ecological inference and distribution regression with census microdata;Flaxman,2016

3. DR-ABC: Approximate Bayesian computation with kernel-based distribution regression;Mitrovic,2016

4. Kernel mean embedding of distributions: A review and beyond;Muandet;Found. Trends Mach. Learn.,2017

5. Random features for large-scale kernel machines;Rahimi,2007

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Imprecise Bayesian optimization;Knowledge-Based Systems;2024-09

2. Robust kernel ensemble regression in diversified kernel space with shared parameters;Applied Intelligence;2022-04-25

3. A conformal prediction inspired approach for distribution regression with random Fourier features;Applied Soft Computing;2020-12

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