{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:18:12Z","timestamp":1770815892092,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ministry of Science and Technology Taiwan","award":["MOST 108-2634-F-009-003"],"award-info":[{"award-number":["MOST 108-2634-F-009-003"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,25]]},"DOI":"10.1145\/3292500.3332267","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"3197-3198","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Deep Bayesian Mining, Learning and Understanding"],"prefix":"10.1145","author":[{"given":"Jen-Tzung","family":"Chien","sequence":"first","affiliation":[{"name":"National Chiao Tung University, Hsinchu, Taiwan Roc"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2428632"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2412466"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2414658"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2779862"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11265-013-0759-x"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2050717"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2143405"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2499302"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2017-832"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2677439"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2018.8517007"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683771"},{"key":"e_1_3_2_2_13_1","unstructured":"Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron C Courville and Yoshua Bengio. 2015. A Recurrent Latent Variable Model for Sequential Data. In Advances in Neural Information Processing Systems. 2980--2988.   Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron C Courville and Yoshua Bengio. 2015. A Recurrent Latent Variable Model for Sequential Data. In Advances in Neural Information Processing Systems. 2980--2988."},{"key":"e_1_3_2_2_14_1","volume-title":"Proc. of International Conference on Machine Learning. 933--941","author":"Dauphin Yann N.","year":"2017"},{"key":"e_1_3_2_2_15_1","volume-title":"BERT: Pre-Training of Deep Bidirectional Transformers for Language Understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018"},{"key":"e_1_3_2_2_16_1","volume-title":"Ulrich Paquet, and Ole Winther.","author":"Fraccaro Marco","year":"2016"},{"key":"e_1_3_2_2_17_1","unstructured":"Yarin Gal and Zoubin Ghahramani. 2016. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks. In Advances in Neural Information Processing Systems. 1019--1027.   Yarin Gal and Zoubin Ghahramani. 2016. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks. In Advances in Neural Information Processing Systems. 1019--1027."},{"key":"e_1_3_2_2_18_1","volume-title":"Proc. of International Conference on Machine Learning. 1243--1252","author":"Gehring Jonas","year":"2017"},{"key":"e_1_3_2_2_19_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems. 2672--2680.   Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems. 2672--2680."},{"key":"e_1_3_2_2_20_1","first-page":"6713","article-title":"Z-Forcing","volume":"30","author":"Goyal Anirudh","year":"2017","journal-title":"Training Stochastic Recurrent Networks. In Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"key":"e_1_3_2_2_22_1","volume-title":"Proc. of International Conference on Learning Representations .","author":"Jang E."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1062"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2018.8517074"},{"key":"e_1_3_2_2_25_1","unstructured":"Isabeau Pr\u00e9mont-Schwarz Alexander Ilin Tele Hao Antti Rasmus Rinu Boney and Harri Valpola. 2017. Recurrent Ladder Networks. In Advances in Neural Information Processing Systems. 6011--6021.   Isabeau Pr\u00e9mont-Schwarz Alexander Ilin Tele Hao Antti Rasmus Rinu Boney and Harri Valpola. 2017. Recurrent Ladder Networks. In Advances in Neural Information Processing Systems. 6011--6021."},{"key":"e_1_3_2_2_26_1","unstructured":"Antti Rasmus Mathias Berglund Mikko Honkala Harri Valpola and Tapani Raiko. 2015. Semi-Supervised Learning with Ladder Networks. In Advances in Neural Information Processing Systems. 3546--3554.   Antti Rasmus Mathias Berglund Mikko Honkala Harri Valpola and Tapani Raiko. 2015. Semi-Supervised Learning with Ladder Networks. In Advances in Neural Information Processing Systems. 3546--3554."},{"key":"e_1_3_2_2_27_1","volume-title":"Proc. of AAAI Conference on Artificial Intelligence. 3295--3301","author":"Serban Iulian V.","year":"2017"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2017.8168121"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2017.8168120"},{"key":"e_1_3_2_2_30_1","unstructured":"Aaron van den Oord Oriol Vinyals and Koray Kavukcuoglu. 2017. Neural Discrete Representation Learning. In Advances in Neural Information Processing Systems. 6309--6318.   Aaron van den Oord Oriol Vinyals and Koray Kavukcuoglu. 2017. Neural Discrete Representation Learning. In Advances in Neural Information Processing Systems. 6309--6318."},{"key":"e_1_3_2_2_31_1","volume-title":"\u0141 ukasz Kaiser, and Illia Polosukhin","author":"Vaswani Ashish","year":"2017"},{"key":"e_1_3_2_2_32_1","unstructured":"Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto Martial Hebert Byron Boots Kris Kitani and J Bagnell. 2017. Predictive-State Decoders: Encoding the Future into Recurrent Networks. In Advances in Neural Information Processing Systems. 1172--1183.   Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto Martial Hebert Byron Boots Kris Kitani and J Bagnell. 2017. Predictive-State Decoders: Encoding the Future into Recurrent Networks. In Advances in Neural Information Processing Systems. 1172--1183."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","volume-title":"Bayesian Speech and Language Processing","author":"Watanabe Shinji","DOI":"10.1017\/CBO9781107295360"},{"key":"e_1_3_2_2_34_1","unstructured":"Shi Xingjian Zhourong Chen Hao Wang Dit-Yan Yeung Wai-kin Wong and Wang-chun Woo. 2015. Convolutional LS\u2122 Network: A Machine Learning Approach for Precipitation Nowcasting. In Advances in Neural Information Processing Systems. 802--810.   Shi Xingjian Zhourong Chen Hao Wang Dit-Yan Yeung Wai-kin Wong and Wang-chun Woo. 2015. Convolutional LS\u2122 Network: A Machine Learning Approach for Precipitation Nowcasting. In Advances in Neural Information Processing Systems. 802--810."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2173371"},{"key":"e_1_3_2_2_36_1","volume-title":"SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. In Prof. of AAAI Conference on Artificial Intelligence","volume":"31","author":"Yu Lantao","year":"2017"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Anchorage AK USA","acronym":"KDD '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3332267","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3332267","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:56Z","timestamp":1750206356000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3332267"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":36,"alternative-id":["10.1145\/3292500.3332267","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3332267","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}