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International Conference on Machine Learning, Optimization, and Data Science最新文献

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Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers 二元分类器与二元决策图质量估计的合并
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_37
Nikolaus Frohner, G. Raidl
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引用次数: 1
Directed Acyclic Graph Reconstruction Leveraging Prior Partial Ordering Information 利用先验偏序信息的有向无环图重构
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_38
Peifeng Wang, G. Michailidis
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引用次数: 0
Performance Evaluation of Local Surrogate Models in Bilevel Optimization 双层优化中局部代理模型的性能评价
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_29
J. S. Angelo, Eduardo Krempser, H. Barbosa
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引用次数: 5
Combinatorial Learning in Traffic Management 交通管理中的组合学习
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_32
Giorgio Sartor, C. Mannino, Lukas Bach
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引用次数: 1
A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space 高维欧几里德空间中基于中心聚类的一个结构定理
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_24
Vladimir Shenmaier
{"title":"A Structural Theorem for Center-Based Clustering in High-Dimensional Euclidean Space","authors":"Vladimir Shenmaier","doi":"10.1007/978-3-030-37599-7_24","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_24","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130101077","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: 6
On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma Hub和孤儿基因在乳腺浸润性癌诊断中的作用
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_52
M. Lopes, A. Veríssimo, Eunice Carrasquinha, S. Vinga
{"title":"On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma","authors":"M. Lopes, A. Veríssimo, Eunice Carrasquinha, S. Vinga","doi":"10.1007/978-3-030-37599-7_52","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_52","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130641281","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: 1
An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem 排列流水车间调度问题的自适应无参数粒子群优化算法
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_15
Y. Marinakis, M. Marinaki
{"title":"An Adaptive Parameter Free Particle Swarm Optimization Algorithm for the Permutation Flowshop Scheduling Problem","authors":"Y. Marinakis, M. Marinaki","doi":"10.1007/978-3-030-37599-7_15","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_15","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116688013","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: 1
Federated Learning of Deep Neural Decision Forests 深度神经决策森林的联邦学习
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_58
A. Sjöberg, E. Gustavsson, Ashok Chaitanya Koppisetty, M. Jirstrand
{"title":"Federated Learning of Deep Neural Decision Forests","authors":"A. Sjöberg, E. Gustavsson, Ashok Chaitanya Koppisetty, M. Jirstrand","doi":"10.1007/978-3-030-37599-7_58","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_58","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134183911","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
Active Matrix Completion for Algorithm Selection 主动矩阵补全算法选择
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_27
Mustafa Misir
{"title":"Active Matrix Completion for Algorithm Selection","authors":"Mustafa Misir","doi":"10.1007/978-3-030-37599-7_27","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_27","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134599291","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: 1
Geospatial Dimension in Association Rule Mining: The Case Study of the Amazon Charcoal Tree 关联规则挖掘中的地理空间维度:以亚马逊木炭树为例
International Conference on Machine Learning, Optimization, and Data Science
Pub Date : 2019-09-10 DOI: 10.1007/978-3-030-37599-7_21
D. Prata, M. L. Rocha, Leandro O. Ferreira, Rogério Nogueira
{"title":"Geospatial Dimension in Association Rule Mining: The Case Study of the Amazon Charcoal Tree","authors":"D. Prata, M. L. Rocha, Leandro O. Ferreira, Rogério Nogueira","doi":"10.1007/978-3-030-37599-7_21","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_21","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133036855","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
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