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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 28 1 Textbrytning av mäklartexter och slutpris : Med BERT, OLS och Elman regressionsnätverk ; Text mining of broker texts and sold price : Using BERT, OLS and Elman regression network Challita, Johan; Fjellström, Emil. - : KTH, Hälsoinformatik och logistik, 2021 BASE Show details 2 Improving Reader Motivation with Machine Learning Bohn, Tanner A In: Electronic Thesis and Dissertation Repository (2021) BASE Show details 3 A sentiment analysis approach to increase authorship identification Martins, Ricardo; Almeida, J. J.; Henriques, Pedro Rangel. - : Wiley, 2021 BASE Show details 4 Understanding and Supporting Vocabulary Learners via Machine Learning on Behavioral and Linguistic Data Nam, Sungjin. - 2020 BASE Show details 5 Comparative Quality Estimation for Machine Translation. An Application of Artificial Intelligence on Language Technology using Machine Learning of Human Preferences ... Avramidis, Eleftherios. - : Universität des Saarlandes, 2019 BASE Show details 6 Comparative Quality Estimation for Machine Translation. An Application of Artificial Intelligence on Language Technology using Machine Learning of Human Preferences Avramidis, Eleftherios. - : Saarländische Universitäts- und Landesbibliothek, 2019 BASE Show details 7 A Step Toward GDPR Compliance : Processing of Personal Data in Email Olby, Linnea; Thomander, Isabel. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018 BASE Show details 8 Feature Selection for Sentiment Analysis of Swedish News Article Titles ; Val av datarepresentation för sentimentsanalys av svenska nyhetsrubriker Dahl, Jonas. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018 BASE Show details 9 Filtering Tweets for Social Unrest ... Mishler, Alan; Wonus, Kevin; Chambers, Wendy. - : Digital Repository at the University of Maryland, 2017 BASE Show details 10 Back to the Future: Logic and Machine Learning Kelleher, John D.; Dobnik, Simon In: Conference papers (2017) BASE Show details 11 Filtering Tweets for Social Unrest Mishler, Alan; Wonus, Kevin; Chambers, Wendy. - : IEEE, 2017 BASE Show details 12 Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection ... Bloodgood, Michael; Strauss, Benjamin. - : Digital Repository at the University of Maryland, 2016 BASE Show details 13 Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection Bloodgood, Michael; Strauss, Benjamin. - : IEEE, 2016 BASE Show details 14 A random forest system combination approach for error detection in digital dictionaries Rodrigues, Paul; Zajic, David; Doermann, David. - : Association for Computational Linguistics, 2012 BASE Show details 15 Statistical Modality Tagging from Rule-based Annotations and Crowdsourcing Prabhakaran, Vinodkumar; Bloodgood, Michael; Diab, Mona. - : Association for Computational Linguistics, 2012 BASE Show details 16 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ... Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : Digital Repository at the University of Maryland, 2010 BASE Show details 17 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach Baker, Kathryn; Piatko, Christine; Miller, Scott. - 2010 BASE Show details 18 Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation Bloodgood, Michael; Callison-Burch, Chris. - : Association for Computational Linguistics, 2010 BASE Show details 19 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details 20 Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details Page: 1 2

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