Journal articles on the topic '170203 Knowledge Representation and Machine Learning'
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Twine, S. "Knowledge representation and organization in machine learning." Information and Software Technology 32, no. 7 (September 1990): 510–11. http://dx.doi.org/10.1016/0950-5849(90)90171-m.
Full textMaher, Mary Lou, and Heng Li. "Learning design concepts using machine learning techniques." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, no. 2 (1994): 95–111. http://dx.doi.org/10.1017/s0890060400000706.
Full textMa, Yunpu, and Volker Tresp. "Quantum Machine Learning Algorithm for Knowledge Graphs." ACM Transactions on Quantum Computing 2, no. 3 (September 30, 2021): 1–28. http://dx.doi.org/10.1145/3467982.
Full textMaher, Mary Lou, David C. Brown, and Alex Duffy. "Special Issue: Machine Learning in Design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, no. 2 (1994): 81–82. http://dx.doi.org/10.1017/s0890060400000688.
Full textLittman, David, and Maarten van Someren. "International Workshop on Knowledge Representation and Organization in Machine Learning." AI Communications 1, no. 1 (1988): 44–45. http://dx.doi.org/10.3233/aic-1988-1108.
Full textRobinson, Peter N., and Melissa A. Haendel. "Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions." Yearbook of Medical Informatics 29, no. 01 (August 2020): 159–62. http://dx.doi.org/10.1055/s-0040-1701991.
Full textMoreno, Marcio, Vítor Lourenço, Sandro Rama Fiorini, Polyana Costa, Rafael Brandão, Daniel Civitarese, and Renato Cerqueira. "Managing Machine Learning Workflow Components." International Journal of Semantic Computing 14, no. 02 (June 2020): 295–309. http://dx.doi.org/10.1142/s1793351x20400115.
Full textUllah, AMM Sharif. "Fundamental Issues of Concept Mapping Relevant to Discipline-Based Education: A Perspective of Manufacturing Engineering." Education Sciences 9, no. 3 (August 29, 2019): 228. http://dx.doi.org/10.3390/educsci9030228.
Full textGRANER, NICOLAS, SUNIL SHARMA, D. SLEEMAN, MICHALIS RISSAKIS, SUSAN CRAW, and CHRIS MOORE. "THE MACHINE LEARNING TOOLBOX CONSULTANT." International Journal on Artificial Intelligence Tools 02, no. 03 (September 1993): 307–28. http://dx.doi.org/10.1142/s0218213093000163.
Full textKocabas, S. "A review of learning." Knowledge Engineering Review 6, no. 3 (September 1991): 195–222. http://dx.doi.org/10.1017/s0269888900005804.
Full textSun, Xiuming, Weina Wu, Peng Geng, and Lin Lu. "International Journal of Applied Mathematics and Machine Learning." International Journal of Applied Mathematics and Machine Learning 15, no. 1 (September 10, 2021): 1–29. http://dx.doi.org/10.18642/ijamml_7100122215.
Full textZamansky, Anna, Aleksandr Sinitca, Dirk van der Linden, and Dmitry Kaplun. "Automatic Animal Behavior Analysis: Opportunities for Combining Knowledge Representation with Machine Learning." Procedia Computer Science 186 (2021): 661–68. http://dx.doi.org/10.1016/j.procs.2021.04.187.
Full textCox, Geoff. "Ways of Machine Seeing." A Peer-Reviewed Journal About 6, no. 1 (April 1, 2017): 8–15. http://dx.doi.org/10.7146/aprja.v6i1.116007.
Full textDhombres, Ferdinand, and Jean Charlet. "Knowledge Representation and Management: Interest in New Solutions for Ontology Curation." Yearbook of Medical Informatics 30, no. 01 (August 2021): 185–90. http://dx.doi.org/10.1055/s-0041-1726508.
Full textRassinoux, A. M. "Knowledge Representation and Management." Yearbook of Medical Informatics 19, no. 01 (August 2010): 64–67. http://dx.doi.org/10.1055/s-0038-1638691.
Full textLiu, Han, Alexander Gegov, and Mihaela Cocea. "Rule Based Networks: An Efficient and Interpretable Representation of Computational Models." Journal of Artificial Intelligence and Soft Computing Research 7, no. 2 (April 1, 2017): 111–23. http://dx.doi.org/10.1515/jaiscr-2017-0008.
Full textHadioui, Abdelladim, Yassine Benjelloun Touimi, Nour-eddine El Faddouli, and Samir Bennani. "Intelligent machine for ontological representation of massive pedagogical knowledge based on neural networks." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 2 (April 1, 2021): 1675. http://dx.doi.org/10.11591/ijece.v11i2.pp1675-1688.
Full textTian, Yousheng, Yingxu Wang, Marina L. Gavrilova, and Guenther Ruhe. "A Formal Knowledge Representation System (FKRS) for the Intelligent Knowledge Base of a Cognitive Learning Engine." International Journal of Software Science and Computational Intelligence 3, no. 4 (October 2011): 1–17. http://dx.doi.org/10.4018/jssci.2011100101.
Full textShu, Chao, Junjie He, Guangjie Xue, and Cheng Xie. "Grain Knowledge Graph Representation Learning: A New Paradigm for Microstructure-Property Prediction." Crystals 12, no. 2 (February 18, 2022): 280. http://dx.doi.org/10.3390/cryst12020280.
Full textDemidova, Elena, Alishiba Dsouza, Simon Gottschalk, Nicolas Tempelmeier, and Ran Yu. "Creating knowledge graphs for geographic data on the web." ACM SIGWEB Newsletter, Winter (December 2022): 1–8. http://dx.doi.org/10.1145/3522598.3522602.
Full textXie, Cheng, Ziwen Pan, and Chao Shu. "Microstructure Representation Knowledge Graph to Explore the Twinning Formation." Crystals 12, no. 4 (March 27, 2022): 466. http://dx.doi.org/10.3390/cryst12040466.
Full textXu, He, Qunli Zheng, Jingshu Zhu, Zuoling Xie, Haitao Cheng, Peng Li, and Yimu Ji. "A Deep Learning Model Incorporating Knowledge Representation Vectors and Its Application in Diabetes Prediction." Disease Markers 2022 (August 12, 2022): 1–17. http://dx.doi.org/10.1155/2022/7593750.
Full textShafiq, Syed Imran, Cesar Sanin, and Edward Szczebicki. "Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance." Procedia Computer Science 192 (2021): 3955–65. http://dx.doi.org/10.1016/j.procs.2021.09.170.
Full textHu, Yang, Adriane Chapman, Guihua Wen, and Dame Wendy Hall. "What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data." ACM Transactions on Intelligent Systems and Technology 13, no. 3 (June 30, 2022): 1–45. http://dx.doi.org/10.1145/3510030.
Full textYeom, Chan-Uk, and Keun-Chang Kwak. "Short-Term Electricity-Load Forecasting Using a TSK-Based Extreme Learning Machine with Knowledge Representation." Energies 10, no. 10 (October 16, 2017): 1613. http://dx.doi.org/10.3390/en10101613.
Full textJia, Lilin, Cordelia Mattuvarkuzhali Ezhilarasu, and Ian Jennions. "Novel Way to Apply Transfer Learning to Aircraft System Fault Diagnosis." PHM Society European Conference 7, no. 1 (June 29, 2022): 577–79. http://dx.doi.org/10.36001/phme.2022.v7i1.3299.
Full textElfadil, Nazar. "Machine Learning: Automated Knowledge Acquisition Based on Unsupervised Neural Network and Expert System Paradigms." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 6 (November 20, 2005): 693–97. http://dx.doi.org/10.20965/jaciii.2005.p0693.
Full textPerlovsky, Leonid, and Gary Kuvich. "Machine Learning and Cognitive Algorithms for Engineering Applications." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 4 (October 2013): 64–82. http://dx.doi.org/10.4018/ijcini.2013100104.
Full textGAO, TIANTIAN, PAUL FODOR, and MICHAEL KIFER. "Querying Knowledge via Multi-Hop English Questions." Theory and Practice of Logic Programming 19, no. 5-6 (September 2019): 636–53. http://dx.doi.org/10.1017/s1471068419000103.
Full textChen, Chi-Jen, Neha Warikoo, Yung-Chun Chang, Jin-Hua Chen, and Wen-Lian Hsu. "Medical knowledge infused convolutional neural networks for cohort selection in clinical trials." Journal of the American Medical Informatics Association 26, no. 11 (August 7, 2019): 1227–36. http://dx.doi.org/10.1093/jamia/ocz128.
Full textJadhav, Mrunal, and Matthew Guzdial. "Tile Embedding: A General Representation for Level Generation." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 17, no. 1 (October 4, 2021): 34–41. http://dx.doi.org/10.1609/aiide.v17i1.18888.
Full textWang, Yingxu, Yousheng Tian, and Kendal Hu. "Semantic Manipulations and Formal Ontology for Machine Learning based on Concept Algebra." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 3 (July 2011): 1–29. http://dx.doi.org/10.4018/ijcini.2011070101.
Full textTrappey, Amy J. C., Chih-Ping Liang, and Hsin-Jung Lin. "Using Machine Learning Language Models to Generate Innovation Knowledge Graphs for Patent Mining." Applied Sciences 12, no. 19 (September 29, 2022): 9818. http://dx.doi.org/10.3390/app12199818.
Full textO’Mahony, Niall, Sean Campbell, Lenka Krpalkova, Anderson Carvalho, Joseph Walsh, and Daniel Riordan. "Representation Learning for Fine-Grained Change Detection." Sensors 21, no. 13 (June 30, 2021): 4486. http://dx.doi.org/10.3390/s21134486.
Full textLi, Hui, Lin Yu, Jie Zhang, and Ming Lyu. "Fusion Deep Learning and Machine Learning for Heterogeneous Military Entity Recognition." Wireless Communications and Mobile Computing 2022 (January 17, 2022): 1–11. http://dx.doi.org/10.1155/2022/1103022.
Full textZhu, Yongjun, Woojin Jung, Fei Wang, and Chao Che. "Drug repurposing against Parkinson's disease by text mining the scientific literature." Library Hi Tech 38, no. 4 (April 24, 2020): 741–50. http://dx.doi.org/10.1108/lht-08-2019-0170.
Full textChen, Po-Chi, Ru-Fang Hsueh, and Shu-Yuen Hwang. "An ILP Based Knowledge Discovery System." International Journal on Artificial Intelligence Tools 06, no. 01 (March 1997): 63–95. http://dx.doi.org/10.1142/s0218213097000050.
Full textWei, Qiang, Yaoyun Zhang, Muhammad Amith, Rebecca Lin, Jenay Lapeyrolerie, Cui Tao, and Hua Xu. "Recognizing software names in biomedical literature using machine learning." Health Informatics Journal 26, no. 1 (September 30, 2019): 21–33. http://dx.doi.org/10.1177/1460458219869490.
Full textDe Oliveira, João Gabriel Lopes, Editorial office Pedro Moreira Menezes Da Costa, and Flavio De Mello. "Knowledge Geometry in Phenomenon Perception and Artificial Intelligence." JUCS - Journal of Universal Computer Science 26, no. 5 (May 28, 2020): 604–23. http://dx.doi.org/10.3897/jucs.2020.032.
Full textLi, Congli. "A Study on Chinese-English Machine Translation Based on Transfer Learning and Neural Networks." Wireless Communications and Mobile Computing 2022 (March 18, 2022): 1–9. http://dx.doi.org/10.1155/2022/8282164.
Full textAnami, Basavaraj S., Ramesh S. Wadawadagi, and Veerappa B. Pagi. "Machine Learning Techniques in Web Content Mining: A Comparative Analysis." Journal of Information & Knowledge Management 13, no. 01 (March 2014): 1450005. http://dx.doi.org/10.1142/s0219649214500051.
Full textMarquez, J. J., M. Rodriguez, M. L. Martinez, and J. M. Perez. "New Virtual Environment for Active Learning on Parameter Adjustment of Plastic Injection Molding." Materials Science Forum 625 (August 2009): 83–94. http://dx.doi.org/10.4028/www.scientific.net/msf.625.83.
Full textJADIDINEJAD, A. H., F. MAHMOUDI, and M. R. MEYBODI. "Clique-based semantic kernel with application to semantic relatedness." Natural Language Engineering 21, no. 5 (April 14, 2015): 725–42. http://dx.doi.org/10.1017/s135132491500008x.
Full textRICHTER, MICHAEL M., and AGNAR AAMODT. "Case-based reasoning foundations." Knowledge Engineering Review 20, no. 3 (September 2005): 203–7. http://dx.doi.org/10.1017/s0269888906000695.
Full textRhodes, Chris, Richard Allmendinger, and Ricardo Climent. "New Interfaces and Approaches to Machine Learning When Classifying Gestures within Music." Entropy 22, no. 12 (December 7, 2020): 1384. http://dx.doi.org/10.3390/e22121384.
Full textLakshika, M. V. P. T., and H. A. Caldera. "Knowledge Graphs Representation for Event-Related E-News Articles." Machine Learning and Knowledge Extraction 3, no. 4 (September 26, 2021): 802–18. http://dx.doi.org/10.3390/make3040040.
Full textLatapie, Hugo, Ozkan Kilic, Gaowen Liu, Ramana Kompella, Adam Lawrence, Yuhong Sun, Jayanth Srinivasa, Yan Yan, Pei Wang, and Kristinn R. Thórisson. "A Metamodel and Framework for Artificial General Intelligence From Theory to Practice." Journal of Artificial Intelligence and Consciousness 08, no. 02 (April 22, 2021): 205–27. http://dx.doi.org/10.1142/s2705078521500119.
Full textBalkanyi, Laszlo, and Ronald Cornet. "The Interplay of Knowledge Representation with Various Fields of Artificial Intelligence in Medicine." Yearbook of Medical Informatics 28, no. 01 (April 25, 2019): 027–34. http://dx.doi.org/10.1055/s-0039-1677899.
Full textMITRA, ARINDAM, and CHITTA BARAL. "Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples." Theory and Practice of Logic Programming 18, no. 3-4 (July 2018): 623–37. http://dx.doi.org/10.1017/s1471068418000248.
Full textLuo, Lei, Jie Xu, Cheng Deng, and Heng Huang. "Orthogonality-Promoting Dictionary Learning via Bayesian Inference." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 4472–79. http://dx.doi.org/10.1609/aaai.v33i01.33014472.
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