{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T22:47:21Z","timestamp":1725662841014},"reference-count":18,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/mlsp.2018.8517074","type":"proceedings-article","created":{"date-parts":[[2018,11,16]],"date-time":"2018-11-16T05:32:18Z","timestamp":1542346338000},"page":"1-6","source":"Crossref","is-referenced-by-count":8,"title":["MARKOV RECURRENT NEURAL NETWORKS"],"prefix":"10.1109","author":[{"given":"Che-Yu","family":"Kuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jen-Tzung","family":"Chien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1172","article-title":"Predictive-state decoders: Encoding the future into recurrent networks","author":"venkatraman","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/978-1-4615-3618-5_2","article-title":"Simple statistical gradient-following algorithms for connectionist reinforcement learning","author":"williams","year":"1992","journal-title":"Reinforcement Learning"},{"key":"ref12","article-title":"Categorical reparameterization with Gumbel-softmax","author":"jang","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref13","article-title":"The concrete distribution: A continuous relaxation of discrete random variables","author":"maddison","year":"2017","journal-title":"International Conference on Learning Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2012.6424228"},{"article-title":"Recurrent neural network regularization","year":"2014","author":"zaremba","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2015.2499302"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2428632"},{"key":"ref18","first-page":"1019","article-title":"A theoretically grounded application of dropout in recurrent neural networks","author":"gal","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Auto-encoding variational Bayes","author":"kingma","year":"2014","journal-title":"International Conference on Learning Representations"},{"key":"ref3","first-page":"3295","article-title":"A hierarchical latent variable encoder-decoder model for generating dialogues","author":"serban","year":"2017","journal-title":"Proc of AAAI Conference on Artificial Intelligence"},{"key":"ref6","first-page":"2980","article-title":"A recurrent latent variable model for sequential data","author":"chung","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Learning stochastic recurrent networks","author":"bayer","year":"2014","journal-title":"NIPS Advances in Variational Inference Workshop"},{"key":"ref8","first-page":"2199","article-title":"Sequential neural models with stochastic layers","author":"fraccaro","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","first-page":"2467","article-title":"Deep temporal sigmoid belief networks for sequence modeling","author":"gan","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2677439"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107295360"},{"key":"ref9","first-page":"6055","article-title":"Predictive state recurrent neural networks","author":"downey","year":"2017","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2018,9,17]]},"location":"Aalborg","end":{"date-parts":[[2018,9,20]]}},"container-title":["2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8482103\/8516704\/08517074.pdf?arnumber=8517074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,23]],"date-time":"2020-08-23T22:46:06Z","timestamp":1598222766000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8517074\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/mlsp.2018.8517074","relation":{},"subject":[],"published":{"date-parts":[[2018,9]]}}}