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Статті в журналах з теми "Broad Structural Representation Learning"
Worden, Keith, and Graeme Manson. "The application of machine learning to structural health monitoring." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (December 12, 2006): 515–37. http://dx.doi.org/10.1098/rsta.2006.1938.
Повний текст джерелаArney, Noah D., and Hilary P. Krygsman. "Work-Integrated Learning Policy in Alberta: A Post-Structural Analysis." Canadian Journal of Educational Administration and Policy, no. 198 (February 17, 2022): 97–110. http://dx.doi.org/10.7202/1086429ar.
Повний текст джерелаQuintana, Rafael. "The ecology of human behavior: A network perspective." Methodological Innovations 15, no. 1 (March 2022): 42–61. http://dx.doi.org/10.1177/20597991221077911.
Повний текст джерелаBingman, Verner P., and Rubén N. Muzio. "Reflections on the Structural-Functional Evolution of the Hippocampus: What Is the Big Deal about a Dentate Gyrus." Brain, Behavior and Evolution 90, no. 1 (2017): 53–61. http://dx.doi.org/10.1159/000475592.
Повний текст джерелаSingh, Ajay, Harman Preet Singh, Fakhre Alam, and Vikas Agrawal. "Role of Education, Training, and E-Learning in Sustainable Employment Generation and Social Empowerment in Saudi Arabia." Sustainability 14, no. 14 (July 19, 2022): 8822. http://dx.doi.org/10.3390/su14148822.
Повний текст джерелаMcConaghy, Cathryn. "on Pedagogy, Trauma and Difficult Memory: Remembering Namatjira, our Beloved." Australian Journal of Indigenous Education 32 (2003): 11–20. http://dx.doi.org/10.1017/s1326011100003781.
Повний текст джерелаOrynbaikyzy, Aiym, Ursula Gessner, Benjamin Mack, and Christopher Conrad. "Crop Type Classification Using Fusion of Sentinel-1 and Sentinel-2 Data: Assessing the Impact of Feature Selection, Optical Data Availability, and Parcel Sizes on the Accuracies." Remote Sensing 12, no. 17 (August 27, 2020): 2779. http://dx.doi.org/10.3390/rs12172779.
Повний текст джерелаFasoulis, Romanos, Georgios Paliouras, and Lydia E. Kavraki. "Graph representation learning for structural proteomics." Emerging Topics in Life Sciences 5, no. 6 (October 19, 2021): 789–802. http://dx.doi.org/10.1042/etls20210225.
Повний текст джерелаLi, Cheng-Te, and Hong-Yu Lin. "Structural Hierarchy-Enhanced Network Representation Learning." Applied Sciences 10, no. 20 (October 16, 2020): 7214. http://dx.doi.org/10.3390/app10207214.
Повний текст джерелаRomero, Lisa S. "Trust, behavior, and high school outcomes." Journal of Educational Administration 53, no. 2 (April 13, 2015): 215–36. http://dx.doi.org/10.1108/jea-07-2013-0079.
Повний текст джерелаДисертації з теми "Broad Structural Representation Learning"
Bratu, Claudia. "Machine Learning of Crystal Formation Energies with Novel Structural Descriptors." Thesis, Linköpings universitet, Teoretisk Fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143203.
Повний текст джерелаLadhams, Zieba Meagan. "Teaching and learning about reaction mechanisms in organic chemistry." University of Western Australia. School of Biomedical and Chemical Sciences, 2004. http://theses.library.uwa.edu.au/adt-WU2005.0035.
Повний текст джерелаMatta, Corrado. "A Field of Veiled Continuities : Studies in the Methodology and Theory of Educational Research." Doctoral thesis, Stockholms universitet, Institutionen för pedagogik och didaktik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-140475.
Повний текст джерелаAt the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 2: Manuscript.
(5929691), Asish Ghoshal. "Efficient Algorithms for Learning Combinatorial Structures from Limited Data." Thesis, 2019.
Знайти повний текст джерелаКниги з теми "Broad Structural Representation Learning"
Nygaard, Taylor, and Jorie Lagerwey. Horrible White People. NYU Press, 2020. http://dx.doi.org/10.18574/nyu/9781479885459.001.0001.
Повний текст джерелаPapafragou, Anna, John C. Trueswell, and Lila R. Gleitman, eds. The Oxford Handbook of the Mental Lexicon. Oxford University Press, 2022. http://dx.doi.org/10.1093/oxfordhb/9780198845003.001.0001.
Повний текст джерелаBever, Thomas G. The Unity of Consciousness and the Consciousness of Unity. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190464783.003.0005.
Повний текст джерелаЧастини книг з теми "Broad Structural Representation Learning"
Cantoni, Virginio, Alessio Ferone, Ozlem Ozbudak, and Alfredo Petrosino. "Protein Structural Blocks Representation and Search through Unsupervised NN." In Artificial Neural Networks and Machine Learning – ICANN 2012, 515–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33266-1_64.
Повний текст джерелаChoi, Jun-Sik, Eunho Lee, and Heung-Il Suk. "Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis." In Machine Learning in Medical Imaging, 64–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00919-9_8.
Повний текст джерелаYu, Bin, Xinhang Xu, Chao Wen, Yu Xie, and Chen Zhang. "Hierarchical Graph Representation Learning with Structural Attention for Graph Classification." In Artificial Intelligence, 473–84. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20500-2_39.
Повний текст джерелаZheng, Kai, Zhu-Hong You, Lei Wang, Yi-Ran Li, Yan-Bin Wang, and Han-Jing Jiang. "MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System." In Intelligent Computing Methodologies, 392–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26766-7_36.
Повний текст джерелаDutta, Saikat, Zixin Huang, and Sasa Misailovic. "SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning." In Fundamental Approaches to Software Engineering, 123–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99429-7_7.
Повний текст джерелаde las Heras, Lluís-Pere, and Gemma Sánchez. "And-Or Graph Grammar for Architectural Floor Plan Representation, Learning and Recognition. A Semantic, Structural and Hierarchical Model." In Pattern Recognition and Image Analysis, 17–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_3.
Повний текст джерелаTomar, Dimpal, and Pradeep Tomar. "Artificial Intelligence-Based Knowledge Representation and Reasoning." In Impact of AI Technologies on Teaching, Learning, and Research in Higher Education, 134–49. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4763-2.ch008.
Повний текст джерелаMbati, Lydia Sophia. "Capabilities-Based Transformative Online Learning Pedagogy for Social Justice." In Advances in Educational Marketing, Administration, and Leadership, 253–72. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9108-5.ch014.
Повний текст джерелаMbati, Lydia Sophia. "Capabilities-Based Transformative Online Learning Pedagogy for Social Justice." In Research Anthology on Instilling Social Justice in the Classroom, 1175–94. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7706-6.ch067.
Повний текст джерелаHowson, Camille B. Kandiko, and Ian Kinchin. "Mapping the Doctorate." In Cases on Teaching Critical Thinking through Visual Representation Strategies, 446–65. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5816-5.ch017.
Повний текст джерелаТези доповідей конференцій з теми "Broad Structural Representation Learning"
Wang, Hu, Guansong Pang, Chunhua Shen, and Congbo Ma. "Unsupervised Representation Learning by Predicting Random Distances." 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.2020/408.
Повний текст джерелаChen, C. L. Philip. "Broad Learning System and its Structural Variations." In 2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY). IEEE, 2018. http://dx.doi.org/10.1109/sisy.2018.8524681.
Повний текст джерелаRossi, Ryan A., Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, and Yasin Abbasi-Yadkori. "A Structural Graph Representation Learning Framework." In WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3336191.3371843.
Повний текст джерелаQuan, Tianhong, Ye Yuan, Youyi Song, Teng Zhou, and Jing Qin. "Fuzzy Structural Broad Learning for Breast Cancer Classification." In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022. http://dx.doi.org/10.1109/isbi52829.2022.9761496.
Повний текст джерелаQuan, Tianhong, Ye Yuan, Youyi Song, Teng Zhou, and Jing Qin. "Fuzzy Structural Broad Learning for Breast Cancer Classification." In 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022. http://dx.doi.org/10.1109/isbi52829.2022.9761496.
Повний текст джерелаChen, Nenglun, Lingjie Liu, Zhiming Cui, Runnan Chen, Duygu Ceylan, Changhe Tu, and Wenping Wang. "Unsupervised Learning of Intrinsic Structural Representation Points." In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020. http://dx.doi.org/10.1109/cvpr42600.2020.00914.
Повний текст джерелаLiu, Lin, Xin Li, William K. Cheung, and Chengcheng Xu. "A Structural Representation Learning for Multi-relational Networks." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/565.
Повний текст джерелаCarpenter, Justin, Janet Layne, Edoardo Serra, and Alfredo Cuzzocrea. "Detecting Botnet Nodes via Structural Node Representation Learning." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671728.
Повний текст джерелаYang, Mengyue, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, and Jun Wang. "CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00947.
Повний текст джерелаChen, Xiaotian, Yuwang Wang, Xuejin Chen, and Wenjun Zeng. "S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00305.
Повний текст джерелаЗвіти організацій з теми "Broad Structural Representation Learning"
Ustinova, Viktoriia O., Svitlana V. Shokaliuk, Iryna S. Mintii, and Andrey V. Pikilnyak. Modern techniques of organizing computer support for future teachers’ independent work in German language. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3255.
Повний текст джерела