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By their apps you shall understand them: mining large-scale patterns of mobile phone usage.

, и . MUM, стр. 27. ACM, (2010)

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Trinh Kien Dinh

Pierre Trinh-viet-Yên

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Trinh Tin

 

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A Fast Method for Training Linear SVM in the Primal., и . ECML/PKDD (1), том 5211 из Lecture Notes in Computer Science, стр. 272-287. Springer, (2008)From Foursquare to My Square: Learning Check-in Behavior from Multiple Sources., , и . ICWSM, The AAAI Press, (2013)Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction., , и . ICDAR, стр. 513-517. IEEE Computer Society, (2011)By their apps you shall understand them: mining large-scale patterns of mobile phone usage., и . MUM, стр. 27. ACM, (2010)Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns., , и . MUM, стр. 26. ACM, (2012)Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube., , , , и . MUM, стр. 37-46. ACM, (2018)Large margin training for hidden Markov models with partially observed states., и . ICML, том 382 из ACM International Conference Proceeding Series, стр. 265-272. ACM, (2009)Contextual Grouping: Discovering Real-Life Interaction Types from Longitudinal Bluetooth Data., и . Mobile Data Management (1), стр. 256-265. IEEE Computer Society, (2011)Neural conditional random fields., и . AISTATS, том 9 из JMLR Proceedings, стр. 177-184. JMLR.org, (2010)Maximum Margin Training of Gaussian HMMs for Handwriting Recognition., и . ICDAR, стр. 976-980. IEEE Computer Society, (2009)