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International Journal of Machine Learning and Cybernetics

Ausgabe 6/2021

Inhalt (19 Artikel)

Original Article

An improved density-based adaptive p-spectral clustering algorithm

Yanru Wang, Shifei Ding, Lijuan Wang, Ling Ding

Original Article

Attention-based context aggregation network for monocular depth estimation

Yuru Chen, Haitao Zhao, Zhengwei Hu, Jingchao Peng

Original Article

-norm probabilistic K-means clustering via nonlinear programming

Bowen Liu, Yujian Li, Ting Zhang, Zhaoying Liu

Open Access Original Article

Caps-OWKG: a capsule network model for open-world knowledge graph

Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao

Original Article

Hierarchical multi-attention networks for document classification

Yingren Huang, Jiaojiao Chen, Shaomin Zheng, Yun Xue, Xiaohui Hu

Original Article

Deep reinforcement learning based home energy management system with devices operational dependencies

Caomingzhe Si, Yuechuan Tao, Jing Qiu, Shuying Lai, Junhua Zhao

Original Article

Feature distribution-based label correlation in multi-label classification

Xiaoya Che, Degang Chen, Jusheng Mi

Original Article

Problems selection under dynamic selection of the best base classifier in one versus one: PSEUDOVO

Izaro Goienetxea, Iñigo Mendialdua, Igor Rodríguez, Basilio Sierra

Original Article

Sample-based online learning for bi-regular hinge loss

Wei Xue, Ping Zhong, Wensheng Zhang, Gaohang Yu, Yebin Chen

Original Article

Uncertainty measurement for a fuzzy set-valued information system

Zhaowen Li, Zhihong Wang, Qingguo Li, Pei Wang, Ching-Feng Wen

Original Article

Adaptive robust local online density estimation for streaming data

Zhong Chen, Zhide Fang, Victor Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang

Original Article

Improving crowd labeling using Stackelberg models

Wenjun Yang, Chaoqun Li

Original Article

A study on the uncertainty of convolutional layers in deep neural networks

Haojing Shen, Sihong Chen, Ran Wang

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