Pub Date : 2019-09-10DOI: 10.1007/978-3-030-37599-7_39
Toshimitsu Aritake, N. Murata
{"title":"Learning Scale and Shift-Invariant Dictionary for Sparse Representation","authors":"Toshimitsu Aritake, N. Murata","doi":"10.1007/978-3-030-37599-7_39","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_39","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"33 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":"128109380","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}
Pub Date : 2019-09-10DOI: 10.1007/978-3-030-37599-7_10
Gail Gilboa-Freedman, Alon Patelsky, Tal Sheldon
{"title":"LIA: A Label-Independent Algorithm for Feature Selection for Supervised Learning","authors":"Gail Gilboa-Freedman, Alon Patelsky, Tal Sheldon","doi":"10.1007/978-3-030-37599-7_10","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_10","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"1 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":"126031878","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}
Pub Date : 2019-09-10DOI: 10.1007/978-3-030-37599-7_8
R. Gurung
{"title":"Adapted Random Survival Forest for Histograms to Analyze NOx Sensor Failure in Heavy Trucks","authors":"R. Gurung","doi":"10.1007/978-3-030-37599-7_8","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_8","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"39 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":"115552195","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}
Pub Date : 2019-09-10DOI: 10.1007/978-3-030-37599-7_2
Shokoufeh Monjezi Kouchak, A. Gaffar
{"title":"Driver Distraction Detection Using Deep Neural Network","authors":"Shokoufeh Monjezi Kouchak, A. Gaffar","doi":"10.1007/978-3-030-37599-7_2","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_2","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"66 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":"129825903","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}
Pub Date : 2019-07-25DOI: 10.1007/978-3-030-95470-3_15
J. Simm, Adam Arany, E. Brouwer, Y. Moreau
{"title":"Expressive Graph Informer Networks","authors":"J. Simm, Adam Arany, E. Brouwer, Y. Moreau","doi":"10.1007/978-3-030-95470-3_15","DOIUrl":"https://doi.org/10.1007/978-3-030-95470-3_15","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133975275","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}
Pub Date : 2019-06-12DOI: 10.1007/978-3-030-64580-9_3
Günther Schindler, Wolfgang Roth, F. Pernkopf, H. Fröning
{"title":"Parameterized Structured Pruning for Deep Neural Networks","authors":"Günther Schindler, Wolfgang Roth, F. Pernkopf, H. Fröning","doi":"10.1007/978-3-030-64580-9_3","DOIUrl":"https://doi.org/10.1007/978-3-030-64580-9_3","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"551 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133839631","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}
Pub Date : 2019-05-30DOI: 10.1007/978-3-030-64583-0_5
Majid Jahani, M. Nazari, S. Rusakov, A. Berahas, Martin Tak'avc
{"title":"Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1","authors":"Majid Jahani, M. Nazari, S. Rusakov, A. Berahas, Martin Tak'avc","doi":"10.1007/978-3-030-64583-0_5","DOIUrl":"https://doi.org/10.1007/978-3-030-64583-0_5","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":"2019-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134271892","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}
Pub Date : 2019-05-10DOI: 10.1007/978-3-030-37599-7_11
Dave McEwan, J. Núñez-Yáñez
{"title":"Relationship Estimation Metrics for Binary SoC Data","authors":"Dave McEwan, J. Núñez-Yáñez","doi":"10.1007/978-3-030-37599-7_11","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_11","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116346272","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}
Pub Date : 2019-04-11DOI: 10.1007/978-3-030-37599-7_1
S. Tao
{"title":"Deep Neural Network Ensembles","authors":"S. Tao","doi":"10.1007/978-3-030-37599-7_1","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_1","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132864407","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}
Pub Date : 2019-01-03DOI: 10.1007/978-3-030-37599-7_59
Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, C. Merle
{"title":"Conditional Anomaly Detection for Quality and Productivity Improvement of Electronics Manufacturing Systems","authors":"Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, C. Merle","doi":"10.1007/978-3-030-37599-7_59","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_59","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"650 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116092898","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}
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