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Cascaded Classifier for Pareto-Optimal Accuracy-Cost Trade-Off Using off-the-Shelf ANNs 基于现成人工神经网络的帕累托最优精度-成本权衡级联分类器
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-10-27 DOI: 10.1007/978-3-030-95470-3_32
Cecilia Latotzke, Johnson Loh, T. Gemmeke
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引用次数: 0
Thinking Fast and Slow in AI: the Role of Metacognition 人工智能中的快与慢思考:元认知的作用
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-10-05 DOI: 10.1007/978-3-031-25891-6_38
M. B. Ganapini, Murray Campbell, F. Fabiano, L. Horesh, J. Lenchner, Andrea Loreggia, N. Mattei, F. Rossi, Biplav Srivastava, K. Venable
{"title":"Thinking Fast and Slow in AI: the Role of Metacognition","authors":"M. B. Ganapini, Murray Campbell, F. Fabiano, L. Horesh, J. Lenchner, Andrea Loreggia, N. Mattei, F. Rossi, Biplav Srivastava, K. Venable","doi":"10.1007/978-3-031-25891-6_38","DOIUrl":"https://doi.org/10.1007/978-3-031-25891-6_38","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125640216","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: 10
A Framework for Imbalanced Time-series Forecasting 非平衡时间序列预测框架
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-07-22 DOI: 10.1007/978-3-030-95467-3_19
Luis P. Silvestrin, Leonardos Pantiskas, M. Hoogendoorn
{"title":"A Framework for Imbalanced Time-series Forecasting","authors":"Luis P. Silvestrin, Leonardos Pantiskas, M. Hoogendoorn","doi":"10.1007/978-3-030-95467-3_19","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_19","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122978502","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
Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A 神经加权A*:任意时刻A可微的学习图代价和启发式算法
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-05-04 DOI: 10.1007/978-3-030-95467-3_43
Alberto Archetti, Marco Cannici, M. Matteucci
{"title":"Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A","authors":"Alberto Archetti, Marco Cannici, M. Matteucci","doi":"10.1007/978-3-030-95467-3_43","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_43","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114525348","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
Fast ABC with joint generative modelling and subset simulation 基于联合生成建模和子集仿真的快速ABC
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-04-16 DOI: 10.1007/978-3-030-95467-3_30
Eliane Maalouf, D. Ginsbourger, N. Linde
{"title":"Fast ABC with joint generative modelling and subset simulation","authors":"Eliane Maalouf, D. Ginsbourger, N. Linde","doi":"10.1007/978-3-030-95467-3_30","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_30","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134455300","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
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation 条件生成对抗网络在轨迹仿真中的速度控制
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-03-21 DOI: 10.1007/978-3-030-95470-3_33
Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, M. Granitzer
{"title":"Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation","authors":"Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, M. Granitzer","doi":"10.1007/978-3-030-95470-3_33","DOIUrl":"https://doi.org/10.1007/978-3-030-95470-3_33","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114150277","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
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models ShufText:一个简单的黑盒方法来评估文本分类模型的脆弱性
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-01-30 DOI: 10.1007/978-3-030-95467-3_18
Rutuja Taware, Shraddha Varat, G. Salunke, Chaitanya Gawande, G. Kale, Rahul Khengare, Raviraj Joshi
{"title":"ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models","authors":"Rutuja Taware, Shraddha Varat, G. Salunke, Chaitanya Gawande, G. Kale, Rahul Khengare, Raviraj Joshi","doi":"10.1007/978-3-030-95467-3_18","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_18","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132087903","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
Generalising via Meta-Examples for Continual Learning in the Wild 通过元示例进行概括，以便在野外进行持续学习
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-01-28 DOI: 10.1007/978-3-031-25599-1_31
Alessia Bertugli, Stefano Vincenzi, S. Calderara, A. Passerini
{"title":"Generalising via Meta-Examples for Continual Learning in the Wild","authors":"Alessia Bertugli, Stefano Vincenzi, S. Calderara, A. Passerini","doi":"10.1007/978-3-031-25599-1_31","DOIUrl":"https://doi.org/10.1007/978-3-031-25599-1_31","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132643248","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
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation 高斯过程插值中最大似然参数估计的数值问题
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2021-01-24 DOI: 10.1007/978-3-030-95470-3_9
S. Basak, S. Petit, J. Bect, E. Vázquez
{"title":"Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation","authors":"S. Basak, S. Petit, J. Bect, E. Vázquez","doi":"10.1007/978-3-030-95470-3_9","DOIUrl":"https://doi.org/10.1007/978-3-030-95470-3_9","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117239192","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
Mixing Consistent Deep Clustering 混合一致深度聚类
International Conference on Machine Learning, Optimization, and Data Science Pub Date : 2020-11-03 DOI: 10.1007/978-3-030-95467-3_10
D. Lutscher, Ali el Hassouni, M. Stol, M. Hoogendoorn
{"title":"Mixing Consistent Deep Clustering","authors":"D. Lutscher, Ali el Hassouni, M. Stol, M. Hoogendoorn","doi":"10.1007/978-3-030-95467-3_10","DOIUrl":"https://doi.org/10.1007/978-3-030-95467-3_10","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577372","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
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