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

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Explainable AI as a Social Microscope: A Case Study on Academic Performance 可解释的人工智能作为社会显微镜:一个关于学习成绩的案例研究
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-06-04 DOI: 10.1007/978-3-030-64583-0_24
Anahit Sargsyan, A. Karapetyan, W. Woon, Aamena Alshamsi
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引用次数: 0
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization 改进零阶随机优化收敛性的稀疏摄动
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-06-02 DOI: 10.1007/978-3-030-64580-9_5
Mayumi Ohta, Nathaniel Berger, Artem Sokolov, S. Riezler
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引用次数: 4
On Bayesian Search for the Feasible Space Under Computationally Expensive Constraints 计算昂贵约束下可行空间的贝叶斯搜索
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-04-23 DOI: 10.1007/978-3-030-64580-9_44
A. Rahat, M. Wood
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引用次数: 2
Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets 稀疏性满足鲁棒性:Feynman-Kac形式原则鲁棒深度神经网络的通道修剪
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-03-02 DOI: 10.1007/978-3-030-64580-9_31
Thu Dinh, Bao Wang, A. Bertozzi, S. Osher
{"title":"Sparsity Meets Robustness: Channel Pruning for the Feynman-Kac Formalism Principled Robust Deep Neural Nets","authors":"Thu Dinh, Bao Wang, A. Bertozzi, S. Osher","doi":"10.1007/978-3-030-64580-9_31","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_31","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":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122298204","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: 14
Can Big Data Help to Predict Conditional Stock Market Volatility? An Application to Brexit 大数据能帮助预测有条件的股市波动吗?英国脱欧申请
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-02-08 DOI: 10.1007/978-3-030-64583-0_36
V. Bellini, Massimo Guidolin, Manuela Pedio
{"title":"Can Big Data Help to Predict Conditional Stock Market Volatility? An Application to Brexit","authors":"V. Bellini, Massimo Guidolin, Manuela Pedio","doi":"10.1007/978-3-030-64583-0_36","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_36","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132862133","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: 2
Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality 基于加权共轭特征对偶的鲁棒生成约束核机
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-02-04 DOI: 10.1007/978-3-030-64583-0_54
Arun Pandey, J. Schreurs, J. Suykens
{"title":"Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality","authors":"Arun Pandey, J. Schreurs, J. Suykens","doi":"10.1007/978-3-030-64583-0_54","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_54","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122618710","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: 7
Investigating the Compositional Structure Of Deep Neural Networks 研究深度神经网络的组成结构
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-02-01 DOI: 10.1007/978-3-030-64583-0_30
Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, M. Antoniotti
{"title":"Investigating the Compositional Structure Of Deep Neural Networks","authors":"Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, M. Antoniotti","doi":"10.1007/978-3-030-64583-0_30","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_30","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132655477","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: 5
Unsupervisedly Learned Representations: Should the Quest be Over? 无监督学习表征:任务应该结束吗?
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-01-21 DOI: 10.1007/978-3-030-64580-9_29
D. Nissani
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引用次数: 0
Bayesian optimization with local search 局部搜索的贝叶斯优化
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2019-11-20 DOI: 10.1007/978-3-030-64580-9_30
Yuzhou Gao, Tengchao Yu, Jinglai Li
{"title":"Bayesian optimization with local search","authors":"Yuzhou Gao, Tengchao Yu, Jinglai Li","doi":"10.1007/978-3-030-64580-9_30","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_30","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121328563","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: 3
State Representation Learning from Demonstration 从示范中学习国家代表
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2019-09-15 DOI: 10.1007/978-3-030-64580-9_26
Astrid Merckling, Alexandre Coninx, Loic Cressot, S. Doncieux, Nicolas Perrin
{"title":"State Representation Learning from Demonstration","authors":"Astrid Merckling, Alexandre Coninx, Loic Cressot, S. Doncieux, Nicolas Perrin","doi":"10.1007/978-3-030-64580-9_26","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_26","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116296661","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: 4
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