長・短期記憶 (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "長・短期記憶" in Japanese language version.

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academia.edu

Wierstra, Daan; Schmidhuber, J.; Gomez, F. J. (2005). “Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning”. Proceedings of the 19th International Joint Conference on Artificial Intelligence (IJCAI), Edinburgh: 853–858. https://www.academia.edu/5830256.

acm.org

dl.acm.org

Fernández, Santiago; Graves, Alex; Schmidhuber, Jürgen (2007). An Application of Recurrent Neural Networks to Discriminative Keyword Spotting. ICANN'07. Berlin, Heidelberg: Springer-Verlag. 220–229. ISBN 978-3540746935
Graves, Alex; Fernández, Santiago; Liwicki, Marcus; Bunke, Horst; Schmidhuber, Jürgen (2007). Unconstrained Online Handwriting Recognition with Recurrent Neural Networks. NIPS'07. USA: Curran Associates Inc.. 577–584. ISBN 9781605603520

allthingsdistributed.com

Vogels, Werner (30 November 2016). “Bringing the Magic of Amazon AI and Alexa to Apps on AWS. - All Things Distributed”. www.allthingsdistributed.com. 2017年6月27日閲覧。

arxiv.org

Li, Xiangang; Wu, Xihong (15 October 2014). "Constructing Long Short-Term Memory based Deep Recurrent Neural Networks for Large Vocabulary Speech Recognition". arXiv:1410.4281 [cs.CL]。
Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). “LSTM: A Search Space Odyssey”. IEEE Transactions on Neural Networks and Learning Systems 28 (10): 2222–2232. arXiv:1503.04069. doi:10.1109/TNNLS.2016.2582924. PMID 27411231.
Cho, Kyunghyun; van Merrienboer, Bart; Gulcehre, Caglar; Bahdanau, Dzmitry; Bougares, Fethi; Schwenk, Holger; Bengio, Yoshua (2014). "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation". arXiv:1406.1078 [cs.CL]。
Graves, Alex; Mohamed, Abdel-rahman; Hinton, Geoffrey (22 March 2013). "Speech Recognition with Deep Recurrent Neural Networks". arXiv:1303.5778 [cs.NE]。
Wu, Yonghui; Schuster, Mike; Chen, Zhifeng; Le, Quoc V.; Norouzi, Mohammad; Macherey, Wolfgang; Krikun, Maxim; Cao, Yuan; Gao, Qin (26 September 2016). "Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation". arXiv:1609.08144 [cs.CL]。
Xingjian Shi; Zhourong Chen; Hao Wang; Dit-Yan Yeung; Wai-kin Wong; Wang-chun Woo (2015). “Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting”. Proceedings of the 28th International Conference on Neural Information Processing Systems: 802–810. arXiv:1506.04214. Bibcode: 2015arXiv150604214S.
" The LSTM is able to beat the baseline only for 100 times steps." Arjovsky, et al. (2015). Unitary Evolution Recurrent Neural Networks.
Huang, Jie; Zhou, Wengang; Zhang, Qilin; Li, Houqiang; Li, Weiping (30 January 2018). "Video-based Sign Language Recognition without Temporal Segmentation". arXiv:1801.10111 [cs.CV]。
Tax, N.; Verenich, I.; La Rosa, M.; Dumas, M. (2017). Predictive Business Process Monitoring with LSTM neural networks. Lecture Notes in Computer Science. 10253. 477–492. arXiv:1612.02130. doi:10.1007/978-3-319-59536-8_30. ISBN 978-3-319-59535-1
Choi, E.; Bahadori, M.T.; Schuetz, E.; Stewart, W.; Sun, J. (2016). “Doctor AI: Predicting Clinical Events via Recurrent Neural Networks”. Proceedings of the 1st Machine Learning for Healthcare Conference: 301–318. arXiv:1511.05942. Bibcode: 2015arXiv151105942C.
Jia, Robin; Liang, Percy (2016-06-11). "Data Recombination for Neural Semantic Parsing". arXiv:1606.03622 [cs].

bgr.com

Smith, Chris (2016年6月13日). “iOS 10: Siri now works in third-party apps, comes with extra AI features”. BGR. 2017年6月27日閲覧。

bloomberg.com

Vance, Ashlee (May 15, 2018). “Quote: These powers make LSTM arguably the most commercial AI achievement, used for everything from predicting diseases to composing music.”. Bloomberg Business Week 2019年1月16日閲覧。

doi.org

Sepp Hochreiter; Jürgen Schmidhuber (1997). “Long short-term memory”. Neural Computation 9 (8): 1735–1780. doi:10.1162/neco.1997.9.8.1735. PMID 9377276.
Siegelmann, Hava T.; Sontag, Eduardo D. (1992). On the Computational Power of Neural Nets. COLT '92. 440–449. doi:10.1145/130385.130432. ISBN 978-0897914970
Graves, A.; Liwicki, M.; Fernandez, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (2009). “A Novel Connectionist System for Improved Unconstrained Handwriting Recognition”. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. doi:10.1109/tpami.2008.137. PMID 19299860.
Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (2015). “LSTM: A Search Space Odyssey”. IEEE Transactions on Neural Networks and Learning Systems 28 (10): 2222–2232. arXiv:1503.04069. doi:10.1109/TNNLS.2016.2582924. PMID 27411231.
Felix A. Gers; Jürgen Schmidhuber; Fred Cummins (2000). “Learning to Forget: Continual Prediction with LSTM”. Neural Computation 12 (10): 2451–2471. doi:10.1162/089976600300015015.
Graves, A.; Liwicki, M.; Fernández, S.; Bertolami, R.; Bunke, H.; Schmidhuber, J. (May 2009). “A Novel Connectionist System for Unconstrained Handwriting Recognition”. IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5): 855–868. doi:10.1109/tpami.2008.137. ISSN 0162-8828. PMID 19299860.
Gers, F. A.; Schmidhuber, J. (2001). “LSTM Recurrent Networks Learn Simple Context Free and Context Sensitive Languages”. IEEE Transactions on Neural Networks 12 (6): 1333–1340. doi:10.1109/72.963769. PMID 18249962.
Gers, F. A.; Schmidhuber, E. (November 2001). “LSTM recurrent networks learn simple context-free and context-sensitive languages”. IEEE Transactions on Neural Networks 12 (6): 1333–1340. doi:10.1109/72.963769. ISSN 1045-9227. PMID 18249962.
Mayer, H.; Gomez, F.; Wierstra, D.; Nagy, I.; Knoll, A.; Schmidhuber, J. (October 2006). A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. 543–548. doi:10.1109/IROS.2006.282190. ISBN 978-1-4244-0258-8
Graves, A.; Schmidhuber, J. (2005). “Framewise phoneme classification with bidirectional LSTM and other neural network architectures”. Neural Networks 18 (5–6): 602–610. doi:10.1016/j.neunet.2005.06.042. PMID 16112549.
Eck, Douglas; Schmidhuber, Jürgen (2002-08-28). Learning the Long-Term Structure of the Blues. Lecture Notes in Computer Science. 2415. Springer, Berlin, Heidelberg. 284–289. doi:10.1007/3-540-46084-5_47. ISBN 978-3540460848
Schmidhuber, J.; Gers, F.; Eck, D.; Schmidhuber, J.; Gers, F. (2002). “Learning nonregular languages: A comparison of simple recurrent networks and LSTM”. Neural Computation 14 (9): 2039–2041. doi:10.1162/089976602320263980. PMID 12184841.
Perez-Ortiz, J. A.; Gers, F. A.; Eck, D.; Schmidhuber, J. (2003). “Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets”. Neural Networks 16 (2): 241–250. doi:10.1016/s0893-6080(02)00219-8. PMID 12628609.
Hochreiter, S.; Heusel, M.; Obermayer, K. (2007). “Fast model-based protein homology detection without alignment”. Bioinformatics 23 (14): 1728–1736. doi:10.1093/bioinformatics/btm247. PMID 17488755.
Thireou, T.; Reczko, M. (2007). “Bidirectional Long Short-Term Memory Networks for predicting the subcellular localization of eukaryotic proteins”. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) 4 (3): 441–446. doi:10.1109/tcbb.2007.1015. PMID 17666763.
Tax, N.; Verenich, I.; La Rosa, M.; Dumas, M. (2017). Predictive Business Process Monitoring with LSTM neural networks. Lecture Notes in Computer Science. 10253. 477–492. arXiv:1612.02130. doi:10.1007/978-3-319-59536-8_30. ISBN 978-3-319-59535-1
Wang, Le; Duan, Xuhuan; Zhang, Qilin; Niu, Zhenxing; Hua, Gang; Zheng, Nanning (2018-05-22). “Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation”. Sensors 18 (5): 1657. doi:10.3390/s18051657. ISSN 1424-8220. PMC 5982167. PMID 29789447.
Duan, Xuhuan; Wang, Le; Zhai, Changbo; Zheng, Nanning; Zhang, Qilin; Niu, Zhenxing; Hua, Gang (2018). Joint Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation. 25th IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip.2018.8451692. ISBN 978-1-4799-7061-2。

googleresearch.blogspot.co.at

googleresearch.blogspot.co.uk

Sak, Haşim; Senior, Andrew; Rao, Kanishka; Beaufays, Françoise; Schalkwyk, Johan (September 24, 2015). “Google voice search: faster and more accurate” (英語). Research Blog 2017年6月27日閲覧。

googleusercontent.com

static.googleusercontent.com

Sak, Hasim (2014年). “Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling”. 2019年4月3日閲覧。

harvard.edu

ui.adsabs.harvard.edu

Xingjian Shi; Zhourong Chen; Hao Wang; Dit-Yan Yeung; Wai-kin Wong; Wang-chun Woo (2015). “Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting”. Proceedings of the 28th International Conference on Neural Information Processing Systems: 802–810. arXiv:1506.04214. Bibcode: 2015arXiv150604214S.
Choi, E.; Bahadori, M.T.; Schuetz, E.; Stewart, W.; Sun, J. (2016). “Doctor AI: Predicting Clinical Events via Recurrent Neural Networks”. Proceedings of the 1st Machine Learning for Healthcare Conference: 301–318. arXiv:1511.05942. Bibcode: 2015arXiv151105942C.