Pub Date : 2019-09-10DOI: 10.1007/978-3-030-37599-7_19
Elaheh Sobhani, P. Comon, C. Jutten, M. Babaie-zadeh
{"title":"Text Mining with Constrained Tensor Decomposition","authors":"Elaheh Sobhani, P. Comon, C. Jutten, M. Babaie-zadeh","doi":"10.1007/978-3-030-37599-7_19","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_19","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":"125743428","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_33
J. E. H. D. Silva, L. Souza, H. Bernardino
{"title":"Cartesian Genetic Programming with Guided and Single Active Mutations for Designing Combinational Logic Circuits","authors":"J. E. H. D. Silva, L. Souza, H. Bernardino","doi":"10.1007/978-3-030-37599-7_33","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_33","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":"125881358","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_55
E. Berglund
{"title":"Modelling Chaotic Time Series Using Recursive Deep Self-organising Neural Networks","authors":"E. Berglund","doi":"10.1007/978-3-030-37599-7_55","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_55","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"17 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":"133740137","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_62
Sergi Mus, Norma Gutiérrez, R. Tous, Beatriz Otero, L. Cruz, David Llácer, L. Alvarado, O. Rojas
{"title":"Long Short-Term Memory Networks for Earthquake Detection in Venezuelan Regions","authors":"Sergi Mus, Norma Gutiérrez, R. Tous, Beatriz Otero, L. Cruz, David Llácer, L. Alvarado, O. Rojas","doi":"10.1007/978-3-030-37599-7_62","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_62","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":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132276868","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_42
F. Fabris, A. Freitas
{"title":"Analysing the Overfit of the Auto-sklearn Automated Machine Learning Tool","authors":"F. Fabris, A. Freitas","doi":"10.1007/978-3-030-37599-7_42","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_42","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"98 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":"116179456","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_53
T. Runarsson
{"title":"Approximating Probabilistic Constraints for Surgery Scheduling Using Neural Networks","authors":"T. Runarsson","doi":"10.1007/978-3-030-37599-7_53","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_53","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":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130770982","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_31
A. Beaumont, Twba Al-Shaghdari
{"title":"To What Extent Can Text Classification Help with Making Inferences About Students' Understanding","authors":"A. Beaumont, Twba Al-Shaghdari","doi":"10.1007/978-3-030-37599-7_31","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_31","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":"129318080","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_20
Gianluca Bontempi
{"title":"The Induction Problem: A Machine Learning Vindication Argument","authors":"Gianluca Bontempi","doi":"10.1007/978-3-030-37599-7_20","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_20","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"90 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":"126440729","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_16
Yu. P. Mikheev
{"title":"The Measure of Regular Relations Recognition Applied to the Supervised Classification Task","authors":"Yu. P. Mikheev","doi":"10.1007/978-3-030-37599-7_16","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_16","url":null,"abstract":"","PeriodicalId":432112,"journal":{"name":"International Conference on Machine Learning, Optimization, and Data Science","volume":"256 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":"134366792","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_43
Marius Geitle, R. Olsson
{"title":"A New Baseline for Automated Hyper-Parameter Optimization","authors":"Marius Geitle, R. Olsson","doi":"10.1007/978-3-030-37599-7_43","DOIUrl":"https://doi.org/10.1007/978-3-030-37599-7_43","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":"2019-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116654686","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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