Search Results for author: Chenfeng Guo

Found 5 papers, 1 papers with code

FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief

1 code implementation30 Nov 2020 Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang

To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed.

BoostTree and BoostForest for Ensemble Learning

no code implementations21 Mar 2020 Changming Zhao, Dongrui Wu, Jian Huang, Ye Yuan, Hai-Tao Zhang, Ruimin Peng, Zhenhua Shi, Chenfeng Guo

Bootstrap aggregating (Bagging) and boosting are two popular ensemble learning approaches, which combine multiple base learners to generate a composite model for more accurate and more reliable performance.

Ensemble Learning General Classification

Canonical Correlation Analysis (CCA) Based Multi-View Learning: An Overview

no code implementations3 Jul 2019 Chenfeng Guo, Dongrui Wu

Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to map data from different views onto a common space with maximum correlation.

MULTI-VIEW LEARNING

OMG - Emotion Challenge Solution

no code implementations30 Apr 2018 Yuqi Cui, Xiao Zhang, Yang Wang, Chenfeng Guo, Dongrui Wu

This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate continuous arousal and valence values from short videos.

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