転移学習 (Japanese Wikipedia)
Analysis of information sources in references of the Wikipedia article "転移学習" in Japanese language version.
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aaai.org
- Banerjee, Bikramjit, and Peter Stone. "General Game Learning Using Knowledge Transfer." IJCAI. 2007.
acm.org
dl.acm.org
- Arief-Ang, I.B.; Salim, F.D.; Hamilton, M. (8 November 2017). DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys). Delft, Netherlands. pp. 1–10. doi:10.1145/3137133.3137146. ISBN 978-1-4503-5544-5。
- Allamanis, Miltiadis; Barr, Earl T.; Devanbu, Premkumar; Sutton, Charles (2019-07-31). “A Survey of Machine Learning for Big Code and Naturalness” (英語). ACM Computing Surveys 51 (4): 1–37. doi:10.1145/3212695. ISSN 0360-0300.
arxiv.org
- George Karimpanal, Thommen; Bouffanais, Roland (2019). “Self-organizing maps for storage and transfer of knowledge in reinforcement learning”. Adaptive Behavior 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123.
- Hajiramezanali, E. & Dadaneh, S. Z. & Karbalayghareh, A. & Zhou, Z. & Qian, X. Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data. 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. arXiv:1810.09433
- Kabir, H. M., Abdar, M., Jalali, S. M. J., Khosravi, A., Atiya, A. F., Nahavandi, S., & Srinivasan, D. (2020). Spinalnet: Deep neural network with gradual input. arXiv preprint arXiv:2007.03347.
byu.edu
cpms.byu.edu
- “Spring Research Presentation: A Theoretical Foundation for Inductive Transfer”. Brigham Young University, College of Physical and Mathematical Sciences (2007年). 2007年8月1日時点のオリジナルよりアーカイブ。2007年8月5日閲覧。
creativecommons.org
- Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). “Improving EEG-Based Emotion Classification Using Conditional Transfer Learning”. Frontiers in Human Neuroscience 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938.
Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
doi.org
- George Karimpanal, Thommen; Bouffanais, Roland (2019). “Self-organizing maps for storage and transfer of knowledge in reinforcement learning”. Adaptive Behavior 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123.
- Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). “Improving EEG-Based Emotion Classification Using Conditional Transfer Learning”. Frontiers in Human Neuroscience 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
- Arief-Ang, I.B.; Salim, F.D.; Hamilton, M. (8 November 2017). DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO2 sensor data. 4th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys). Delft, Netherlands. pp. 1–10. doi:10.1145/3137133.3137146. ISBN 978-1-4503-5544-5。
- Arief-Ang, I.B.; Hamilton, M.; Salim, F.D. (2018-12-01). “A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data”. ACM Transactions on Sensor Networks 14 (3–4): 21:1–21:28. doi:10.1145/3217214.
- Maitra, D. S.; Bhattacharya, U.; Parui, S. K. (August 2015). “CNN based common approach to handwritten character recognition of multiple scripts”. 2015 13th International Conference on Document Analysis and Recognition (ICDAR): 1021–1025. doi:10.1109/ICDAR.2015.7333916. ISBN 978-1-4799-1805-8.
- Bird, Jordan J.; Kobylarz, Jhonatan; Faria, Diego R.; Ekart, Aniko; Ribeiro, Eduardo P. (2020). “Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG”. IEEE Access (Institute of Electrical and Electronics Engineers (IEEE)) 8: 54789–54801. doi:10.1109/access.2020.2979074. ISSN 2169-3536.
- Maitra, Durjoy Sen; Bhattacharya, Ujjwal; Parui, Swapan K. (August 2015). “CNN based common approach to handwritten character recognition of multiple scripts”. 2015 13th International Conference on Document Analysis and Recognition (ICDAR): 1021–1025. doi:10.1109/ICDAR.2015.7333916.
- Allamanis, Miltiadis; Barr, Earl T.; Devanbu, Premkumar; Sutton, Charles (2019-07-31). “A Survey of Machine Learning for Big Code and Naturalness” (英語). ACM Computing Surveys 51 (4): 1–37. doi:10.1145/3212695. ISSN 0360-0300.
- Chen, Zimin; Kommrusch, Steve James; Monperrus, Martin (2022). “Neural Transfer Learning for Repairing Security Vulnerabilities in C Code”. IEEE Transactions on Software Engineering: 1–1. doi:10.1109/TSE.2022.3147265. ISSN 1939-3520.
ecmlpkdd2006.org
- Bickel, Steffen (2006). "ECML-PKDD Discovery Challenge 2006 Overview". ECML-PKDD Discovery Challenge Workshop (PDF). 2007年8月5日閲覧。
google.co.jp
books.google.co.jp
- Pratt, L. Y. (1993). “Discriminability-based transfer between neural networks”. NIPS Conference: Advances in Neural Information Processing Systems 5. Morgan Kaufmann Publishers
ieee.org
ieeexplore.ieee.org
- Maitra, Durjoy Sen; Bhattacharya, Ujjwal; Parui, Swapan K. (August 2015). “CNN based common approach to handwritten character recognition of multiple scripts”. 2015 13th International Conference on Document Analysis and Recognition (ICDAR): 1021–1025. doi:10.1109/ICDAR.2015.7333916.
- Chen, Zimin; Kommrusch, Steve James; Monperrus, Martin (2022). “Neural Transfer Learning for Repairing Security Vulnerabilities in C Code”. IEEE Transactions on Software Engineering: 1–1. doi:10.1109/TSE.2022.3147265. ISSN 1939-3520.
nih.gov
ncbi.nlm.nih.gov
- Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). “Improving EEG-Based Emotion Classification Using Conditional Transfer Learning”. Frontiers in Human Neuroscience 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
pubmed.ncbi.nlm.nih.gov
- Lin, Yuan-Pin; Jung, Tzyy-Ping (27 June 2017). “Improving EEG-Based Emotion Classification Using Conditional Transfer Learning”. Frontiers in Human Neuroscience 11: 334. doi:10.3389/fnhum.2017.00334. PMC 5486154. PMID 28701938. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
nips.cc
papers.nips.cc
- Pratt, L. Y. (1993). “Discriminability-based transfer between neural networks”. NIPS Conference: Advances in Neural Information Processing Systems 5. Morgan Kaufmann Publishers
- Do, Chuong B.; Ng, Andrew Y. (2005). "Transfer learning for text classification". Neural Information Processing Systems Foundation, NIPS*2005 (PDF). 2007年8月5日閲覧。
nips.cc
- “NIPS 2016 Schedule”. nips.cc. 2019年12月28日閲覧。
media.nips.cc
stanford.edu
ai.stanford.edu
- Rajat, Raina; Ng, Andrew Y.; Koller, Daphne (2006). "Constructing Informative Priors using Transfer Learning". Twenty-third International Conference on Machine Learning (PDF). 2007年8月5日閲覧。
umn.edu
stat.umn.edu
- Niculescu-Mizil, Alexandru; Caruana, Rich (March 21–24, 2007), “Inductive Transfer for Bayesian Network Structure Learning”, Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007) 2007年8月5日閲覧。
utexas.edu
cs.utexas.edu
- Mihalkova, Lilyana; Huynh, Tuyen; Mooney, Raymond J. (July 2007), “Mapping and Revising Markov Logic Networks for Transfer”, Learning Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI-2007), Vancouver, BC 2007年8月5日閲覧。
web.archive.org
- “Spring Research Presentation: A Theoretical Foundation for Inductive Transfer”. Brigham Young University, College of Physical and Mathematical Sciences (2007年). 2007年8月1日時点のオリジナルよりアーカイブ。2007年8月5日閲覧。
worldcat.org
search.worldcat.org
- George Karimpanal, Thommen; Bouffanais, Roland (2019). “Self-organizing maps for storage and transfer of knowledge in reinforcement learning”. Adaptive Behavior 27 (2): 111–126. arXiv:1811.08318. doi:10.1177/1059712318818568. ISSN 1059-7123.
- Bird, Jordan J.; Kobylarz, Jhonatan; Faria, Diego R.; Ekart, Aniko; Ribeiro, Eduardo P. (2020). “Cross-Domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG”. IEEE Access (Institute of Electrical and Electronics Engineers (IEEE)) 8: 54789–54801. doi:10.1109/access.2020.2979074. ISSN 2169-3536.
- Allamanis, Miltiadis; Barr, Earl T.; Devanbu, Premkumar; Sutton, Charles (2019-07-31). “A Survey of Machine Learning for Big Code and Naturalness” (英語). ACM Computing Surveys 51 (4): 1–37. doi:10.1145/3212695. ISSN 0360-0300.
- Chen, Zimin; Kommrusch, Steve James; Monperrus, Martin (2022). “Neural Transfer Learning for Repairing Security Vulnerabilities in C Code”. IEEE Transactions on Software Engineering: 1–1. doi:10.1109/TSE.2022.3147265. ISSN 1939-3520.