Статті в журналах з теми "Machine learning compositionality"
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Lannelongue, K., M. De Milly, R. Marcucci, S. Selevarangame, A. Supizet, and A. Grincourt. "Compositional Grounded Language for Agent Communication in Reinforcement Learning Environment." Journal of Autonomous Intelligence 2, no. 3 (November 15, 2019): 1. http://dx.doi.org/10.32629/jai.v2i3.56.
Повний текст джерелаLannelongue, K., M. De Milly, R. Marcucci, S. Selevarangame, A. Supizet, and A. Grincourt. "Compositional Grounded Language for Agent Communication in Reinforcement Learning Environment." Journal of Autonomous Intelligence 2, no. 1 (May 9, 2022): 72. http://dx.doi.org/10.32629/jai.v2i1.56.
Повний текст джерелаPavlovic, Dusko. "Lambek pregroups are Frobenius spiders in preorders." Compositionality 4 (April 13, 2022): 1. http://dx.doi.org/10.32408/compositionality-4-1.
Повний текст джерелаMcNamee, Daniel C., Kimberly L. Stachenfeld, Matthew M. Botvinick, and Samuel J. Gershman. "Compositional Sequence Generation in the Entorhinal–Hippocampal System." Entropy 24, no. 12 (December 8, 2022): 1791. http://dx.doi.org/10.3390/e24121791.
Повний текст джерелаBusato, Sebastiano, Max Gordon, Meenal Chaudhari, Ib Jensen, Turgut Akyol, Stig Andersen, and Cranos Williams. "Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies." Current Opinion in Plant Biology 71 (February 2023): 102326. http://dx.doi.org/10.1016/j.pbi.2022.102326.
Повний текст джерелаHarel, David, Assaf Marron, Ariel Rosenfeld, Moshe Vardi, and Gera Weiss. "Labor Division with Movable Walls: Composing Executable Specifications with Machine Learning and Search (Blue Sky Idea)." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9770–74. http://dx.doi.org/10.1609/aaai.v33i01.33019770.
Повний текст джерелаGünther, Fritz, Luca Rinaldi, and Marco Marelli. "Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions." Perspectives on Psychological Science 14, no. 6 (September 10, 2019): 1006–33. http://dx.doi.org/10.1177/1745691619861372.
Повний текст джерелаLi, Yue, Bjørn Holmedal, Boyu Liu, Hongxiang Li, Linzhong Zhuang, Jishan Zhang, Qiang Du, and Jianxin Xie. "Towards high-throughput microstructure simulation in compositionally complex alloys via machine learning." Calphad 72 (March 2021): 102231. http://dx.doi.org/10.1016/j.calphad.2020.102231.
Повний текст джерелаFan, Angela, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, et al. "Generating Interactive Worlds with Text." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (April 3, 2020): 1693–700. http://dx.doi.org/10.1609/aaai.v34i02.5532.
Повний текст джерелаNagy, Péter, Bálint Kaszás, István Csabai, Zoltán Hegedűs, Johann Michler, László Pethö, and Jenő Gubicza. "Machine Learning-Based Characterization of the Nanostructure in a Combinatorial Co-Cr-Fe-Ni Compositionally Complex Alloy Film." Nanomaterials 12, no. 24 (December 10, 2022): 4407. http://dx.doi.org/10.3390/nano12244407.
Повний текст джерелаKuhn, Stephen, Matthew J. Cracknell, Anya M. Reading, and Stephanie Sykora. "Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier." GEOPHYSICS 85, no. 6 (November 1, 2020): B249—B258. http://dx.doi.org/10.1190/geo2019-0461.1.
Повний текст джерелаFraser, Benjamin T., and Russell G. Congalton. "A Comparison of Methods for Determining Forest Composition from High-Spatial-Resolution Remotely Sensed Imagery." Forests 12, no. 9 (September 21, 2021): 1290. http://dx.doi.org/10.3390/f12091290.
Повний текст джерелаKeller, Chandler R., Yang Hu, Kelsey F. Ruud, Anika E. VanDeen, Steve R. Martinez, Barry T. Kahn, Zhiwu Zhang, Roland K. Chen, and Weimin Li. "Human Breast Extracellular Matrix Microstructures and Protein Hydrogel 3D Cultures of Mammary Epithelial Cells." Cancers 13, no. 22 (November 22, 2021): 5857. http://dx.doi.org/10.3390/cancers13225857.
Повний текст джерелаXu, Xueli, Zhongming Xie, Zhenyu Yang, Dongfang Li, and Ximing Xu. "A t-SNE Based Classification Approach to Compositional Microbiome Data." Frontiers in Genetics 11 (December 14, 2020). http://dx.doi.org/10.3389/fgene.2020.620143.
Повний текст джерелаLee, Scott, Drew Levin, Jason Thomas, Patrick Finley, and Charles Heilig. "Exploring the Value of Learned Representations for Automated Syndromic Definitions." Online Journal of Public Health Informatics 10, no. 1 (May 22, 2018). http://dx.doi.org/10.5210/ojphi.v10i1.8326.
Повний текст джерелаKhakurel, Hrishabh, M. F. N. Taufique, Ankit Roy, Ganesh Balasubramanian, Gaoyuan Ouyang, Jun Cui, Duane D. Johnson, and Ram Devanathan. "Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys." Scientific Reports 11, no. 1 (August 25, 2021). http://dx.doi.org/10.1038/s41598-021-96507-0.
Повний текст джерелаLi, Jiaheng, Yingbo Zhang, Xinyu Cao, Qi Zeng, Ye Zhuang, Xiaoying Qian, and Hui Chen. "Accelerated discovery of high-strength aluminum alloys by machine learning." Communications Materials 1, no. 1 (October 12, 2020). http://dx.doi.org/10.1038/s43246-020-00074-2.
Повний текст джерелаKovacs, Alexander, Johann Fischbacher, Harald Oezelt, Alexander Kornell, Qais Ali, Markus Gusenbauer, Masao Yano, et al. "Physics-informed machine learning combining experiment and simulation for the design of neodymium-iron-boron permanent magnets with reduced critical-elements content." Frontiers in Materials 9 (January 18, 2023). http://dx.doi.org/10.3389/fmats.2022.1094055.
Повний текст джерелаLake, Brenden M., Tomer D. Ullman, Joshua B. Tenenbaum, and Samuel J. Gershman. "Building machines that learn and think like people." Behavioral and Brain Sciences 40 (November 24, 2016). http://dx.doi.org/10.1017/s0140525x16001837.
Повний текст джерелаMao, Keyou S., Tyler J. Gerczak, Jason M. Harp, Casey S. McKinney, Timothy G. Lach, Omer Karakoc, Andrew T. Nelson, Kurt A. Terrani, Chad M. Parish, and Philip D. Edmondson. "Identifying chemically similar multiphase nanoprecipitates in compositionally complex non-equilibrium oxides via machine learning." Communications Materials 3, no. 1 (April 19, 2022). http://dx.doi.org/10.1038/s43246-022-00244-4.
Повний текст джерелаZhou, Ziqing, Yeju Zhou, Quanfeng He, Zhaoyi Ding, Fucheng Li, and Yong Yang. "Machine learning guided appraisal and exploration of phase design for high entropy alloys." npj Computational Materials 5, no. 1 (December 2019). http://dx.doi.org/10.1038/s41524-019-0265-1.
Повний текст джерелаFung, Victor, Jiaxin Zhang, Eric Juarez, and Bobby G. Sumpter. "Benchmarking graph neural networks for materials chemistry." npj Computational Materials 7, no. 1 (June 3, 2021). http://dx.doi.org/10.1038/s41524-021-00554-0.
Повний текст джерелаSoni, Vinay Kumar, S. Sanyal, K. Raja Rao, and Sudip K. Sinha. "A review on phase prediction in high entropy alloys." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, May 13, 2021, 095440622110089. http://dx.doi.org/10.1177/09544062211008935.
Повний текст джерелаMayer, Francis D., Pooya Hosseini-Benhangi, Carlos M. Sánchez-Sánchez, Edouard Asselin, and Előd L. Gyenge. "Scanning electrochemical microscopy screening of CO2 electroreduction activities and product selectivities of catalyst arrays." Communications Chemistry 3, no. 1 (November 6, 2020). http://dx.doi.org/10.1038/s42004-020-00399-6.
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