Статті в журналах з теми "Noisy-OR model"
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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 джерелаJittawiriyanukoon, Chanintorn. "Estimation of regression-based model with bulk noisy data." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (October 1, 2019): 3649. http://dx.doi.org/10.11591/ijece.v9i5.pp3649-3656.
Повний текст джерелаHanafusa, Ryo, and Takeshi Okadome. "Bayesian Kernel Regression for Noisy Inputs Based on Nadaraya–Watson Estimator Constructed from Noiseless Training Data." Advances in Data Science and Adaptive Analysis 12, no. 01 (January 2020): 2050004. http://dx.doi.org/10.1142/s2424922x20500047.
Повний текст джерелаBhagawati, Rupam, and Thiruselvan Subramanian. "Quantum-aided feature selection model – A quantum machine learning approach." Journal of Discrete Mathematical Sciences & Cryptography 26, no. 3 (2023): 641–55. http://dx.doi.org/10.47974/jdmsc-1735.
Повний текст джерелаSurin, V. A. "ON PROCESSING NOISY CONTRAST IMAGES." Bulletin of the South Ural State University series "Mathematics. Mechanics. Physics" 13, no. 1 (2021): 14–21. http://dx.doi.org/10.14529/mmph210102.
Повний текст джерелаHossain, Md Nahid, Samiul Basir, Md Shakhawat Hosen, A. O. M. Asaduzzaman, Md Mojahidul Islam, Mohammad Alamgir Hossain, and Md Shohidul Islam. "Supervised Single Channel Speech Enhancement Method Using UNET." Electronics 12, no. 14 (July 12, 2023): 3052. http://dx.doi.org/10.3390/electronics12143052.
Повний текст джерелаLiu, Kun-Lin, Wu-Jun Li, and Minyi Guo. "Emoticon Smoothed Language Models for Twitter Sentiment Analysis." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 1678–84. http://dx.doi.org/10.1609/aaai.v26i1.8353.
Повний текст джерелаKourehli, Seyed Sina. "Damage Assessment in Structures Using Incomplete Modal Data and Artificial Neural Network." International Journal of Structural Stability and Dynamics 15, no. 06 (June 17, 2015): 1450087. http://dx.doi.org/10.1142/s0219455414500874.
Повний текст джерелаLindner, John F., Brian K. Meadows, Tracey L. Marsh, William L. Ditto, and Adi R. Bulsara. "Can Neurons Distinguish Chaos from Noise?" International Journal of Bifurcation and Chaos 08, no. 04 (April 1998): 767–81. http://dx.doi.org/10.1142/s0218127498000565.
Повний текст джерелаGuan, Qingji, Qinrun Chen, and Yaping Huang. "An Improved Heteroscedastic Modeling Method for Chest X-ray Image Classification with Noisy Labels." Algorithms 16, no. 5 (May 4, 2023): 239. http://dx.doi.org/10.3390/a16050239.
Повний текст джерелаWei, Penghui, Wenji Mao, and Guandan Chen. "A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7249–56. http://dx.doi.org/10.1609/aaai.v33i01.33017249.
Повний текст джерелаKittisuwan, Pichid. "Low-complexity image denoising based on mixture model and simple form of MMSE estimation." International Journal of Wavelets, Multiresolution and Information Processing 16, no. 06 (October 10, 2018): 1850052. http://dx.doi.org/10.1142/s0219691318500522.
Повний текст джерелаMendonça, J. Ricardo G. "The inactive–active phase transition in the noisy additive (exclusive-or) probabilistic cellular automaton." International Journal of Modern Physics C 27, no. 02 (December 23, 2015): 1650016. http://dx.doi.org/10.1142/s0129183116500169.
Повний текст джерелаMousavi, Hamid, Mareike Buhl, Enrico Guiraud, Jakob Drefs, and Jörg Lücke. "Inference and Learning in a Latent Variable Model for Beta Distributed Interval Data." Entropy 23, no. 5 (April 29, 2021): 552. http://dx.doi.org/10.3390/e23050552.
Повний текст джерелаPARK, HYUNG-MIN, JONG-HWAN LEE, TAESU KIM, UN-MIN BAE, BYUNG TAEK KIM, KI-YOUNG PARK, CHANG-MIN KIM, and SOO-YOUNG LEE. "MODELING AUDITORY PATHWAY FOR INTELLIGENT INFORMATION ACQUISITION." International Journal of Information Acquisition 01, no. 04 (December 2004): 345–56. http://dx.doi.org/10.1142/s0219878904000367.
Повний текст джерелаFawwaz, Dzaky Zakiyal, and Sang-Hwa Chung. "Real-Time and Robust Hydraulic System Fault Detection via Edge Computing." Applied Sciences 10, no. 17 (August 27, 2020): 5933. http://dx.doi.org/10.3390/app10175933.
Повний текст джерелаWang, Xiao Fei, Bo Nian Li, Yan Li Huang, and Xin Ran Wang. "Feature Extraction from Noisy Image Using Intersecting Cortical Model." Applied Mechanics and Materials 40-41 (November 2010): 516–22. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.516.
Повний текст джерелаQin, Tianyun, Rangding Wang, Diqun Yan, and Lang Lin. "Source Cell-Phone Identification in the Presence of Additive Noise from CQT Domain." Information 9, no. 8 (August 17, 2018): 205. http://dx.doi.org/10.3390/info9080205.
Повний текст джерелаLazic, Nevena, Amarnag Subramanya, Michael Ringgaard, and Fernando Pereira. "Plato: A Selective Context Model for Entity Resolution." Transactions of the Association for Computational Linguistics 3 (December 2015): 503–15. http://dx.doi.org/10.1162/tacl_a_00154.
Повний текст джерелаNoh, Kyungjoo, Liang Jiang, and Bill Fefferman. "Efficient classical simulation of noisy random quantum circuits in one dimension." Quantum 4 (September 11, 2020): 318. http://dx.doi.org/10.22331/q-2020-09-11-318.
Повний текст джерелаZhang, Tian Chi, Jian Pei Zhang, Jing Zhang, and Melvyn L. Smith. "Two-Step Modified Nash Equilibrium Method for Medical Image Segmentation Based on an Improved C-V Model." Journal of Medical Imaging and Health Informatics 8, no. 9 (December 1, 2018): 1826–34. http://dx.doi.org/10.1166/jmihi.2018.2521.
Повний текст джерелаMonson, Christopher K., and Kevin D. Seppi. "A Graphical Model for Evolutionary Optimization." Evolutionary Computation 16, no. 3 (September 2008): 289–313. http://dx.doi.org/10.1162/evco.2008.16.3.289.
Повний текст джерелаYang, Lei, Haiqing Zhang, Daiwei Li, Fei Xiao, and Shanglin Yang. "Facial Expression Recognition Based on Transfer Learning and SVM." Journal of Physics: Conference Series 2025, no. 1 (September 1, 2021): 012015. http://dx.doi.org/10.1088/1742-6596/2025/1/012015.
Повний текст джерелаCedeño, Angel L., Ricardo Albornoz, Rodrigo Carvajal, Boris I. Godoy, and Juan C. Agüero. "A Two-Filter Approach for State Estimation Utilizing Quantized Output Data." Sensors 21, no. 22 (November 18, 2021): 7675. http://dx.doi.org/10.3390/s21227675.
Повний текст джерелаPeeters, Bert, and Ard Kuijpers. "Classification of noisy vehicles from unsupervised measurements." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 5 (February 1, 2023): 2175–84. http://dx.doi.org/10.3397/in_2022_0312.
Повний текст джерелаAbdel Qader, Akram. "A New Novel Hybrid Dynamic Color Segmentation Model for Road Signs in Noisy Conditions." International Journal of Software Innovation 9, no. 3 (July 2021): 1–22. http://dx.doi.org/10.4018/ijsi.2021070101.
Повний текст джерелаRymarczyk, Tomasz, Krzysztof Polakowski, and Jan Sikora. "A NEW CONCEPT OF DISCRETIZATION MODEL FOR IMAGING IMPROVING IN ULTRASOUND TRANSMISSION TOMOGRAPHY." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 9, no. 4 (December 15, 2019): 48–51. http://dx.doi.org/10.35784/iapgos.131.
Повний текст джерелаJi, S., and X. Yuan. "A GENERIC PROBABILISTIC MODEL AND A HIERARCHICAL SOLUTION FOR SENSOR LOCALIZATION IN NOISY AND RESTRICTED CONDITIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 193–98. http://dx.doi.org/10.5194/isprsarchives-xli-b1-193-2016.
Повний текст джерелаJi, S., and X. Yuan. "A GENERIC PROBABILISTIC MODEL AND A HIERARCHICAL SOLUTION FOR SENSOR LOCALIZATION IN NOISY AND RESTRICTED CONDITIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 193–98. http://dx.doi.org/10.5194/isprs-archives-xli-b1-193-2016.
Повний текст джерелаMayhew, Stephen, Gupta Nitish, and Dan Roth. "Robust Named Entity Recognition with Truecasing Pretraining." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (April 3, 2020): 8480–87. http://dx.doi.org/10.1609/aaai.v34i05.6368.
Повний текст джерелаZhang, Jun, Wen Yao, Xiaoqian Chen, and Ling Feng. "Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (June 26, 2023): 13940–48. http://dx.doi.org/10.1609/aaai.v37i11.26632.
Повний текст джерелаBocquet, Marc, Julien Brajard, Alberto Carrassi, and Laurent Bertino. "Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models." Nonlinear Processes in Geophysics 26, no. 3 (July 10, 2019): 143–62. http://dx.doi.org/10.5194/npg-26-143-2019.
Повний текст джерелаZhang, Rui, Zhenghao Chen, Sanxing Zhang, Fei Song, Gang Zhang, Quancheng Zhou, and Tao Lei. "Remote Sensing Image Scene Classification with Noisy Label Distillation." Remote Sensing 12, no. 15 (July 24, 2020): 2376. http://dx.doi.org/10.3390/rs12152376.
Повний текст джерелаTang, Ning, Zi-Long Fan, and Hao-Sheng Zeng. "Improving the quality of noisy spatial quantum channels." Quantum Information and Computation 15, no. 7&8 (May 2015): 568–81. http://dx.doi.org/10.26421/qic15.7-8-3.
Повний текст джерелаRohling, Jos H. T., and Janusz M. Meylahn. "Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus." Journal of Biological Rhythms 35, no. 2 (January 23, 2020): 158–66. http://dx.doi.org/10.1177/0748730419898314.
Повний текст джерелаKlawonn, Matthew, Eric Heim, and James Hendler. "Exploiting Class Learnability in Noisy Data." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4082–89. http://dx.doi.org/10.1609/aaai.v33i01.33014082.
Повний текст джерелаGuo, Zhenyu, Yujuan Sun, Muwei Jian, and Xiaofeng Zhang. "Deep Residual Network with Sparse Feedback for Image Restoration." Applied Sciences 8, no. 12 (November 28, 2018): 2417. http://dx.doi.org/10.3390/app8122417.
Повний текст джерелаNorthcutt, Curtis, Lu Jiang, and Isaac Chuang. "Confident Learning: Estimating Uncertainty in Dataset Labels." Journal of Artificial Intelligence Research 70 (April 14, 2021): 1373–411. http://dx.doi.org/10.1613/jair.1.12125.
Повний текст джерелаWu, Biao, Yong Huang, Xiang Chen, Sridhar Krishnaswamy, and Hui Li. "Guided-wave signal processing by the sparse Bayesian learning approach employing Gabor pulse model." Structural Health Monitoring 16, no. 3 (August 29, 2016): 347–62. http://dx.doi.org/10.1177/1475921716665252.
Повний текст джерелаKaur, Inderjit, and Dr Pardeep Saini. "Classifier Model using Artificial Neural Network." International Journal of Engineering, Business and Management 7, no. 4 (2023): 69–73. http://dx.doi.org/10.22161/ijebm.7.4.11.
Повний текст джерелаStark, Oliver, Martin Pfeifer, and Sören Hohmann. "Parameter and Order Identification of Fractional Systems with Application to a Lithium-Ion Battery." Mathematics 9, no. 14 (July 8, 2021): 1607. http://dx.doi.org/10.3390/math9141607.
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