International Conference on Machine Learning and Computing最新文献_第7页

A Distributed PCM Clustering Algorithm Based on Spark 基于Spark的分布式PCM聚类算法

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318315

Yong Zhang, Hao Liu, Tianzhen Chen, Di Tang

引用次数: 1

Application of Load Balancing Technology Based on Dynamic Migration in Wide Area Measurement Data Storage 基于动态迁移的负载均衡技术在广域测量数据存储中的应用

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318361

Allam Maalla

引用次数: 0

A Review of Methods Used in Machine Learning and Data Analysis 机器学习和数据分析方法综述

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318300

Qingyang Wu

引用次数: 1

An Interpretable Classification Model Based on Characteristic Element Extraction 基于特征元素提取的可解释分类模型

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318370

Mingwei Zhang, Xiuxiu He, Bin Zhang

{"title":"An Interpretable Classification Model Based on Characteristic Element Extraction","authors":"Mingwei Zhang, Xiuxiu He, Bin Zhang","doi":"10.1145/3318299.3318370","DOIUrl":"https://doi.org/10.1145/3318299.3318370","url":null,"abstract":"The process of a classification application is usually dynamic and long. During the process of an application, better classification application effect can be acquired by enlarging and adjusting the training dataset continuously, for example, modifying the wrong labels of original instances. For this kind of dynamic classification applications, how to build an interpretable classifier which can help domain experts to understand each label's meanings reflected from the dataset, then to compare and discriminate them with their own mastered domain knowledge, and finally to adjust and optimize the training set to enhance the effect of classification applications, is a neglected but worth studying issue. Therefore, an interpretable classification model based on characteristic element extraction is proposed in this paper. The proposed classifier is constructed by extracting positive and negative characteristic elements for all class labels which can intuitively reflect their instinct characteristics. Thus, it has high interpretability obviously and can effectively help domain experts optimize classification effect. At the same time, experiment results show that our classifier also has higher accuracy compared with other kinds of classical classifiers. Consequently, the classification model proposed in this paper is effective and efficient, especially in practical applications.","PeriodicalId":164987,"journal":{"name":"International Conference on Machine Learning and Computing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131515828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Classification of the Documents Based on Word Embedding and 2-layer Spherical Self Organizing Maps 基于词嵌入和两层球面自组织图的文档分类

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318378

Koki Yoshioka, H. Dozono

引用次数: 2

Particle Competition for Multilayer Network Community Detection 多层网络社区检测中的粒子竞争

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318320

Xubo Gao, Qiusheng Zheng, F. Verri, Rafael D. Rodrigues, Liang Zhao

{"title":"Particle Competition for Multilayer Network Community Detection","authors":"Xubo Gao, Qiusheng Zheng, F. Verri, Rafael D. Rodrigues, Liang Zhao","doi":"10.1145/3318299.3318320","DOIUrl":"https://doi.org/10.1145/3318299.3318320","url":null,"abstract":"Multilayer complex networks are suitable models to represent high-dimensional heterogeneous systems with special importance in big data era. Community structures in a multilayer network can be drastically changed in comparison to the set of isolated monolayer networks composited by the same sets of nodes due to the existence of interlayer connections. For this reason, community detection in multilayer networks, as an unsupervised learning task, has turned out to be an interesting research topic in data mining and analysis in complex systems. In this paper, we propose a modified version of the particle competition model for multilayer network community detection. The original model was designed to community detection in monolayer unweighted and undirected networks. The modified version presented in this paper can be in turn applied to multilayer, weighted, and/or directed networks. Moreover, we also propose a localized measure to determine the optimal number of particles corresponding to the correct number of detected communities. Computer simulations shows the better performance of the proposed technique over the state of the art ones.","PeriodicalId":164987,"journal":{"name":"International Conference on Machine Learning and Computing","volume":"33 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114039517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

An Improved Hybrid Quantum Particle Swarm Optimization Algorithm for FJSP 一种改进的FJSP混合量子粒子群优化算法

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318359

Qiwen Zhang, Songqi Hu

引用次数: 1

Analysis Method of Travel Mode Choice of Urban Residents Based on Spatial-temporal Heterogeneity 基于时空异质性的城市居民出行方式选择分析方法

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318333

K. Zhou, Xiao Peng, Zhong Guo

引用次数: 0

Attention Based Echo State Network: A Novel Approach for Fault Prognosis 基于注意力的回声状态网络:一种故障预测新方法

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318325

Chongdang Liu, Rong Yao, Linxuan Zhang, Yuan Liao

引用次数: 12

An Ontology Embedding Approach Based on Multiple Neural Networks 基于多神经网络的本体嵌入方法

International Conference on Machine Learning and Computing Pub Date : 2019-02-22 DOI: 10.1145/3318299.3318365

Achref Benarab, Fahad Rafique, Jianguo Sun

引用次数: 1