Academic literature on the topic 'Learning algorithms'
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Journal articles on the topic "Learning algorithms"
Egorova, Irina Konstantinovna. "BASIC ALGORITHMS LEARNING ALGORITHMS." Economy. Business. Computer science, no. 3 (January 1, 2016): 47–58. http://dx.doi.org/10.19075/2500-2074-2016-3-47-58.
Full textXu, Chenyang, and Benjamin Moseley. "Learning-Augmented Algorithms for Online Steiner Tree." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 8 (June 28, 2022): 8744–52. http://dx.doi.org/10.1609/aaai.v36i8.20854.
Full textLuan, Yuxuan, Junjiang He, Jingmin Yang, Xiaolong Lan, and Geying Yang. "Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning." International Journal of Intelligent Systems 2023 (November 10, 2023): 1–21. http://dx.doi.org/10.1155/2023/1666735.
Full textZhang, Pingke, and Jinyu Huang. "APTM: Structurally Informative Network Representation Learning." Frontiers in Science and Engineering 3, no. 11 (November 21, 2023): 5–11. http://dx.doi.org/10.54691/fse.v3i11.5701.
Full textBottou, Léon, and Vladimir Vapnik. "Local Learning Algorithms." Neural Computation 4, no. 6 (November 1992): 888–900. http://dx.doi.org/10.1162/neco.1992.4.6.888.
Full textCoe, James, and Mustafa Atay. "Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms." Computers 10, no. 9 (September 10, 2021): 113. http://dx.doi.org/10.3390/computers10090113.
Full textMu, Tong, Georgios Theocharous, David Arbour, and Emma Brunskill. "Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 7 (June 28, 2022): 7841–49. http://dx.doi.org/10.1609/aaai.v36i7.20753.
Full textYu, Binyan, and Yuanzheng Zheng. "Research on algorithms of machine learning." Applied and Computational Engineering 39, no. 1 (February 21, 2024): 277–81. http://dx.doi.org/10.54254/2755-2721/39/20230614.
Full textSun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu, and Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped." Intelligent Data Analysis 26, no. 5 (September 5, 2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.
Full textLing, Qingyang. "Machine learning algorithms review." Applied and Computational Engineering 4, no. 1 (June 14, 2023): 91–98. http://dx.doi.org/10.54254/2755-2721/4/20230355.
Full textDissertations / Theses on the topic "Learning algorithms"
Andersson, Viktor. "Machine Learning in Logistics: Machine Learning Algorithms : Data Preprocessing and Machine Learning Algorithms." Thesis, Luleå tekniska universitet, Datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64721.
Full textData Ductus är ett svenskt IT-konsultbolag, deras kundbas sträcker sig från små startups till stora redan etablerade företag. Företaget har stadigt växt sedan 80-talet och har etablerat kontor både i Sverige och i USA. Med hjälp av maskininlärning kommer detta projket att presentera en möjlig lösning på de fel som kan uppstå inom logistikverksamheten, orsakade av den mänskliga faktorn.Ett sätt att förbehandla data innan den tillämpas på en maskininlärning algoritm, liksom ett par algoritmer för användning kommer att presenteras.
Ameur, Foued ben Fredj. "Space-bounded learning algorithms /." Paderborn : Heinz Nixdorf Inst, 1996. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=007171235&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textHsu, Daniel Joseph. "Algorithms for active learning." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3404377.
Full textTitle from first page of PDF file (viewed June 10, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (leaves 97-101).
CESARI, TOMMASO RENATO. "ALGORITHMS, LEARNING, AND OPTIMIZATION." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/699354.
Full textJanagam, Anirudh, and Saddam Hossen. "Analysis of Network Intrusion Detection System with Machine Learning Algorithms (Deep Reinforcement Learning Algorithm)." Thesis, Blekinge Tekniska Högskola, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17126.
Full textSentenac, Flore. "Learning and Algorithms for Online Matching." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG005.
Full textThis thesis focuses mainly on online matching problems, where sets of resources are sequentially allocated to demand streams. We treat them both from an online learning and a competitive analysis perspective, always in the case when the input is stochastic.On the online learning side, we study how the specific matching structure influences learning in the first part, then how carry-over effects in the system affect its performance.On the competitive analysis side, we study the online matching problem in specific classes of random graphs, in an effort to move away from worst-case analysis.Finally, we explore how learning can be leveraged in the scheduling problem
Thompson, Simon Giles. "Distributed boosting algorithms." Thesis, University of Portsmouth, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285529.
Full textMoon, Gordon Euhyun. "Parallel Algorithms for Machine Learning." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1561980674706558.
Full textAtiya, Amir Abu-Mostafa Yaser S. "Learning algorithms for neural networks /." Diss., Pasadena, Calif. : California Institute of Technology, 1991. http://resolver.caltech.edu/CaltechETD:etd-09232005-083502.
Full textSanchez, Merchante Luis Francisco. "Learning algorithms for sparse classification." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00868847.
Full textBooks on the topic "Learning algorithms"
Celebi, M. Emre, and Kemal Aydin, eds. Unsupervised Learning Algorithms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24211-8.
Full textLi, Fuwei, Lifeng Lai, and Shuguang Cui. Machine Learning Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16375-3.
Full textSzepesvári, Csaba. Algorithms for Reinforcement Learning. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01551-9.
Full textAyyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.
Full textSzepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.
Find full textHutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.
Find full textLearning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.
Find full textThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Find full textSchapire, Robert E. Boosting: Foundations and algorithms. Cambridge, MA: MIT Press, 2012.
Find full textPereira, Ana I., Florbela P. Fernandes, João P. Coelho, João P. Teixeira, Maria F. Pacheco, Paulo Alves, and Rui P. Lopes, eds. Optimization, Learning Algorithms and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91885-9.
Full textBook chapters on the topic "Learning algorithms"
Grollman, Daniel, and Aude Billard. "Learning Algorithms." In Encyclopedia of the Sciences of Learning, 1766–69. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-1428-6_759.
Full textAizenberg, Igor N., Naum N. Aizenberg, and Joos Vandewalle. "Learning Algorithms." In Multi-Valued and Universal Binary Neurons, 139–67. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3115-6_4.
Full textHaken, Hermann. "Learning Algorithms." In Springer Series in Synergetics, 88–124. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10182-7_10.
Full textHaken, Hermann. "Learning Algorithms." In Springer Series in Synergetics, 84–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-22450-2_10.
Full textBisong, Ekaba. "Learning Algorithms." In Building Machine Learning and Deep Learning Models on Google Cloud Platform, 209–11. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4470-8_17.
Full textBjörklund, Henrik, Johanna Björklund, and Wim Martens. "Learning algorithms." In Handbook of Automata Theory, 375–409. Zuerich, Switzerland: European Mathematical Society Publishing House, 2021. http://dx.doi.org/10.4171/automata-1/11.
Full textBerkemer, Rainer, and Markus Grottke. "Learning Algorithms." In AI - Limits and Prospects of Artificial Intelligence, 9–42. Bielefeld, Germany: transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839457320-003.
Full textAved’yan, Eduard. "Deterministic Algorithms." In Learning Systems, 16–39. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3089-5_2.
Full textAved’yan, Eduard. "Stochastic Algorithms." In Learning Systems, 62–71. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3089-5_5.
Full textGeetha, T. V., and S. Sendhilkumar. "Classification Algorithms." In Machine Learning, 127–51. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003290100-6.
Full textConference papers on the topic "Learning algorithms"
Albeanu, Grigore, Henrik Madsen, and Florin Popentiuvladicescu. "LEARNING FROM NATURE: NATURE-INSPIRED ALGORITHMS." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-158.
Full textKamalaruban, Parameswaran, Rati Devidze, Volkan Cevher, and Adish Singla. "Interactive Teaching Algorithms for Inverse Reinforcement Learning." 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.2019/374.
Full textPratuzaitė, Greta, and Nijolė Maknickienė. "Investigation of credit cards fraud detection by using deep learning and classification algorithms." In 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.558.
Full textXia, Ruiqi, Manman Li, and Shaozhen Chen. "Cryptographic Algorithms Identification based on Deep Learning." In 3rd International Conference on Artificial Intelligence and Machine Learning (CAIML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121217.
Full textDong, Li-yan, Guang-yuan Liu, Sen-miao Yuan, Yong-li Li, and Zhen Li. "Classifier Learning Algorithm Based on Genetic Algorithms." In Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.214.
Full textWilamowski, Bogdan M. "Advanced learning algorithms." In 2009 International Conference on Intelligent Engineering Systems (INES). IEEE, 2009. http://dx.doi.org/10.1109/ines.2009.4924730.
Full textHasan, Mohammed A. "Orthonormalization Learning Algorithms." In 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371247.
Full textHurlbert, Anya C., and Tomaso A. Poggio. "Learning Lightness Algorithms." In 1988 Robotics Conferences, edited by David P. Casasent. SPIE, 1989. http://dx.doi.org/10.1117/12.960280.
Full textPaun, Alexandru. "EXPERIMENTING WITH DECISION TREES AND INSTANCE-BASED LEARNING ALGORITHMS." In eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-113.
Full textBrown, Jason, Riley O'Neill, Jeff Calder, and Andrea L. Bertozzi. "Utilizing contrastive learning for graph-based active learning of SAR data." In Algorithms for Synthetic Aperture Radar Imagery XXX, edited by Edmund Zelnio and Frederick D. Garber. SPIE, 2023. http://dx.doi.org/10.1117/12.2663099.
Full textReports on the topic "Learning algorithms"
Stepp, Robert E., Bradley L. Whitehall, and Lawrence B. Holder. Toward Intelligent Machine Learning Algorithms. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada197049.
Full textMoody, John. Statistical Learning Theory and Algorithms. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada270209.
Full textHaussler, David, and Manfred K. Warmuth. Analyzing the Performance of Learning Algorithms. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada327588.
Full textBertsekas, Dimitri P. Algorithms for Learning and Decision Making. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada591909.
Full textMerzlykin, Pavlo, Natalia Kharadzjan, Dmytro Medvedev, Irina Zakarljuka, and Liliia Fadeeva. Scheduling Algorithms Exploring via Robotics Learning. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2877.
Full textVarastehpour, Soheil, Hamid Sharifzadeh, and Iman Ardekani. A Comprehensive Review of Deep Learning Algorithms. Unitec ePress, 2021. http://dx.doi.org/10.34074/ocds.092.
Full textDeJong, Kenneth A., and William M. Spears. Learning Concept Classification Rules using Genetic Algorithms,. Fort Belvoir, VA: Defense Technical Information Center, January 1990. http://dx.doi.org/10.21236/ada294470.
Full textMoody, John E. New Neural Algorithms for Self-Organized Learning. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada249816.
Full textMoody, John E. New Neural Algorithms for Self-Organized Learning. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada251771.
Full textAlwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, December 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.
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