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Статті в журналах з теми "Noisy-OR model"
Quintanar-Gago, David A., and Pamela F. Nelson. "The extended Recursive Noisy OR model: Static and dynamic considerations." International Journal of Approximate Reasoning 139 (December 2021): 185–200. http://dx.doi.org/10.1016/j.ijar.2021.09.013.
Повний текст джерелаZhou, Kuang, Arnaud Martin, and Quan Pan. "The Belief Noisy-OR Model Applied to Network Reliability Analysis." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 24, no. 06 (November 30, 2016): 937–60. http://dx.doi.org/10.1142/s0218488516500434.
Повний текст джерелаLi, W., P. Poupart, and P. Van Beek. "Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference." Journal of Artificial Intelligence Research 40 (April 19, 2011): 729–65. http://dx.doi.org/10.1613/jair.3232.
Повний текст джерелаBüttner, Martha, Lisa Schneider, Aleksander Krasowski, Joachim Krois, Ben Feldberg, and Falk Schwendicke. "Impact of Noisy Labels on Dental Deep Learning—Calculus Detection on Bitewing Radiographs." Journal of Clinical Medicine 12, no. 9 (April 23, 2023): 3058. http://dx.doi.org/10.3390/jcm12093058.
Повний текст джерелаShang, Yuming, He-Yan Huang, Xian-Ling Mao, Xin Sun, and Wei Wei. "Are Noisy Sentences Useless for Distant Supervised Relation Extraction?" Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8799–806. http://dx.doi.org/10.1609/aaai.v34i05.6407.
Повний текст джерелаZheng, Guoqing, Ahmed Hassan Awadallah, and Susan Dumais. "Meta Label Correction for Noisy Label Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 11053–61. http://dx.doi.org/10.1609/aaai.v35i12.17319.
Повний текст джерелаMaeda, Shin-ichi, Wen-Jie Song, and Shin Ishii. "Nonlinear and Noisy Extension of Independent Component Analysis: Theory and Its Application to a Pitch Sensation Model." Neural Computation 17, no. 1 (January 1, 2005): 115–44. http://dx.doi.org/10.1162/0899766052530866.
Повний текст джерелаZhan, Peida, Hong Jiao, Kaiwen Man, and Lijun Wang. "Using JAGS for Bayesian Cognitive Diagnosis Modeling: A Tutorial." Journal of Educational and Behavioral Statistics 44, no. 4 (February 10, 2019): 473–503. http://dx.doi.org/10.3102/1076998619826040.
Повний текст джерелаHong, Zhiwei, Xiaocheng Fan, Tao Jiang, and Jianxing Feng. "End-to-End Unpaired Image Denoising with Conditional Adversarial Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4140–49. http://dx.doi.org/10.1609/aaai.v34i04.5834.
Повний текст джерелаKağan Akkaya, Emre, and Burcu Can. "Transfer learning for Turkish named entity recognition on noisy text." Natural Language Engineering 27, no. 1 (January 28, 2020): 35–64. http://dx.doi.org/10.1017/s1351324919000627.
Повний текст джерелаДисертації з теми "Noisy-OR model"
Li, Wei. "Exploiting Structure in Backtracking Algorithms for Propositional and Probabilistic Reasoning." Thesis, 2010. http://hdl.handle.net/10012/5322.
Повний текст джерелаКниги з теми "Noisy-OR model"
Back, Kerry E. Rational Expectations Equilibria. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190241148.003.0022.
Повний текст джерелаPortillo, Rafael, Filiz Unsal, Stephen O’Connell, and Catherine Pattillo. Implementation Errors and Incomplete Information. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198785811.003.0009.
Повний текст джерелаGolan, Amos. Foundations of Info-Metrics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199349524.001.0001.
Повний текст джерелаЧастини книг з теми "Noisy-OR model"
Woudenberg, Steven P. D., and Linda C. van der Gaag. "Using the Noisy-OR Model Can Be Harmful … But It Often Is Not." In Lecture Notes in Computer Science, 122–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22152-1_11.
Повний текст джерелаBolt, Janneke H., and Linda C. van der Gaag. "An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network." In Communications in Computer and Information Science, 11–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14055-6_2.
Повний текст джерелаGuan, Ji, Wang Fang, and Mingsheng Ying. "Verifying Fairness in Quantum Machine Learning." In Computer Aided Verification, 408–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_20.
Повний текст джерелаCohen, Albert, Wolfgang Dahmen, and Ron DeVore. "State Estimation—The Role of Reduced Models." In SEMA SIMAI Springer Series, 57–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86236-7_4.
Повний текст джерелаSalotti, Jean Marc. "Noisy-or Nodes for Conditioning Models." In From Animals to Animats 11, 458–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15193-4_43.
Повний текст джерелаWalrand, Jean. "Speech Recognition: A." In Probability in Electrical Engineering and Computer Science, 205–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_11.
Повний текст джерелаKoltai, Júlia, Zoltán Kmetty, and Károly Bozsonyi. "From Durkheim to Machine Learning: Finding the Relevant Sociological Content in Depression and Suicide-Related Social Media Discourses." In Pathways Between Social Science and Computational Social Science, 237–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54936-7_11.
Повний текст джерелаSrinivas, Sampath. "A Generalization of the Noisy-Or Model." In Uncertainty in Artificial Intelligence, 208–15. Elsevier, 1993. http://dx.doi.org/10.1016/b978-1-4832-1451-1.50030-5.
Повний текст джерелаBusemeyer, Marius R., and Julian L. Garritzmann. "Loud, Noisy, or Quiet Politics?" In The World Politics of Social Investment: Volume II, 59–85. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197601457.003.0003.
Повний текст джерелаRodgers, Waymond. "The Expedient Algorithmic Pathway." In Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model, 96–129. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/9789815049541122010006.
Повний текст джерелаТези доповідей конференцій з теми "Noisy-OR model"
Nagesh, Ajay, Gholamreza Haffari, and Ganesh Ramakrishnan. "Noisy Or-based model for Relation Extraction using Distant Supervision." In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/d14-1208.
Повний текст джерелаRamakrishnan, Ganesh, Krishna Prasad Chitrapura, Raghu Krishnapuram, and Pushpak Bhattacharyya. "A model for handling approximate, noisy or incomplete labeling in text classification." In the 22nd international conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1102351.1102437.
Повний текст джерелаYongjian Hu, Yunfei Zhou, Xuefei Jiang, Zhihuai Xiao, and Zhaohui Sun. "Study of Hydropower Units Fault Diagnosis based on Bayesian Network Noisy Or Model." In 2014 ISFMFE - 6th International Symposium on Fluid Machinery and Fluid Engineering. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1132.
Повний текст джерелаLi, Zhaohui, Xiaogang Wang, Wan Qiu, and Dongxin Shi. "Research on Intelligent Traditional Chinese Medicine Prescription Model Based on Noisy-or Bayesian Network." In 2020 International Conference on Culture-oriented Science & Technology (ICCST). IEEE, 2020. http://dx.doi.org/10.1109/iccst50977.2020.00100.
Повний текст джерелаPan, Weiran, Wei Wei, and Feida Zhu. "Automatic Noisy Label Correction for Fine-Grained Entity Typing." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/599.
Повний текст джерелаPark, Jun H., and N. Sri Namachchivaya. "Noisy Impact Oscillators." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60861.
Повний текст джерелаAsl, Sajjad Fekri, Michael Athans, and Antonio Pascoal. "Estimation and Identification of Mass-Spring-Dashpot Systems Using Multiple-Model Adaptive Algorithms." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33442.
Повний текст джерелаWu, Junshuang, Richong Zhang, Yongyi Mao, Hongyu Guo, and Jinpeng Huai. "Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/731.
Повний текст джерелаWong, Harry W. H., Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, and Sherman S. M. Chow. "Learning Model with Error -- Exposing the Hidden Model of BAYHENN." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/488.
Повний текст джерелаChoi, Seunggil, and N. Sri Namachchivaya. "An Averaging Approach for Noisy Strongly Nonlinear Periodically Forced Systems." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-39384.
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