Literatura académica sobre el tema "Learning algorithms"
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Artículos de revistas sobre el tema "Learning algorithms"
Egorova, Irina Konstantinovna. "BASIC ALGORITHMS LEARNING ALGORITHMS". Economy. Business. Computer science, n.º 3 (1 de enero de 2016): 47–58. http://dx.doi.org/10.19075/2500-2074-2016-3-47-58.
Texto completoXu, Chenyang y Benjamin Moseley. "Learning-Augmented Algorithms for Online Steiner Tree". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 8 (28 de junio de 2022): 8744–52. http://dx.doi.org/10.1609/aaai.v36i8.20854.
Texto completoLuan, Yuxuan, Junjiang He, Jingmin Yang, Xiaolong Lan y Geying Yang. "Uniformity-Comprehensive Multiobjective Optimization Evolutionary Algorithm Based on Machine Learning". International Journal of Intelligent Systems 2023 (10 de noviembre de 2023): 1–21. http://dx.doi.org/10.1155/2023/1666735.
Texto completoZhang, Pingke y Jinyu Huang. "APTM: Structurally Informative Network Representation Learning". Frontiers in Science and Engineering 3, n.º 11 (21 de noviembre de 2023): 5–11. http://dx.doi.org/10.54691/fse.v3i11.5701.
Texto completoBottou, Léon y Vladimir Vapnik. "Local Learning Algorithms". Neural Computation 4, n.º 6 (noviembre de 1992): 888–900. http://dx.doi.org/10.1162/neco.1992.4.6.888.
Texto completoCoe, James y Mustafa Atay. "Evaluating Impact of Race in Facial Recognition across Machine Learning and Deep Learning Algorithms". Computers 10, n.º 9 (10 de septiembre de 2021): 113. http://dx.doi.org/10.3390/computers10090113.
Texto completoMu, Tong, Georgios Theocharous, David Arbour y Emma Brunskill. "Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 7 (28 de junio de 2022): 7841–49. http://dx.doi.org/10.1609/aaai.v36i7.20753.
Texto completoYu, Binyan y Yuanzheng Zheng. "Research on algorithms of machine learning". Applied and Computational Engineering 39, n.º 1 (21 de febrero de 2024): 277–81. http://dx.doi.org/10.54254/2755-2721/39/20230614.
Texto completoSun, Yuqin, Songlei Wang, Dongmei Huang, Yuan Sun, Anduo Hu y Jinzhong Sun. "A multiple hierarchical clustering ensemble algorithm to recognize clusters arbitrarily shaped". Intelligent Data Analysis 26, n.º 5 (5 de septiembre de 2022): 1211–28. http://dx.doi.org/10.3233/ida-216112.
Texto completoLing, Qingyang. "Machine learning algorithms review". Applied and Computational Engineering 4, n.º 1 (14 de junio de 2023): 91–98. http://dx.doi.org/10.54254/2755-2721/4/20230355.
Texto completoTesis sobre el tema "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.
Texto completoData 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.
Texto completoHsu, Daniel Joseph. "Algorithms for active learning". Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3404377.
Texto completoTitle 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.
Texto completoJanagam, Anirudh y 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.
Texto completoSentenac, Flore. "Learning and Algorithms for Online Matching". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG005.
Texto completoThis 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.
Texto completoMoon, Gordon Euhyun. "Parallel Algorithms for Machine Learning". The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1561980674706558.
Texto completoAtiya, 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.
Texto completoSanchez, Merchante Luis Francisco. "Learning algorithms for sparse classification". Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00868847.
Texto completoLibros sobre el tema "Learning algorithms"
Celebi, M. Emre y Kemal Aydin, eds. Unsupervised Learning Algorithms. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24211-8.
Texto completoLi, Fuwei, Lifeng Lai y Shuguang Cui. Machine Learning Algorithms. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-16375-3.
Texto completoSzepesvári, Csaba. Algorithms for Reinforcement Learning. Cham: Springer International Publishing, 2010. http://dx.doi.org/10.1007/978-3-031-01551-9.
Texto completoAyyadevara, V. Kishore. Pro Machine Learning Algorithms. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3564-5.
Texto completoSzepesvári, Csaba. Algorithms for reinforcement learning. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.
Buscar texto completoHutchinson, Alan. Algorithmic learning. Oxford: Clarendon Press, 1994.
Buscar texto completoLearning kernel classifiers: Theory and algorithms. Cambridge, Mass: MIT Press, 2002.
Buscar texto completoThe design and analysis of efficient learning algorithms. Cambridge, Mass: MIT Press, 1992.
Buscar texto completoSchapire, Robert E. Boosting: Foundations and algorithms. Cambridge, MA: MIT Press, 2012.
Buscar texto completoPereira, Ana I., Florbela P. Fernandes, João P. Coelho, João P. Teixeira, Maria F. Pacheco, Paulo Alves y 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.
Texto completoCapítulos de libros sobre el tema "Learning algorithms"
Grollman, Daniel y Aude Billard. "Learning Algorithms". En 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.
Texto completoAizenberg, Igor N., Naum N. Aizenberg y Joos Vandewalle. "Learning Algorithms". En 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.
Texto completoHaken, Hermann. "Learning Algorithms". En Springer Series in Synergetics, 88–124. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10182-7_10.
Texto completoHaken, Hermann. "Learning Algorithms". En Springer Series in Synergetics, 84–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-22450-2_10.
Texto completoBisong, Ekaba. "Learning Algorithms". En 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.
Texto completoBjörklund, Henrik, Johanna Björklund y Wim Martens. "Learning algorithms". En Handbook of Automata Theory, 375–409. Zuerich, Switzerland: European Mathematical Society Publishing House, 2021. http://dx.doi.org/10.4171/automata-1/11.
Texto completoBerkemer, Rainer y Markus Grottke. "Learning Algorithms". En AI - Limits and Prospects of Artificial Intelligence, 9–42. Bielefeld, Germany: transcript Verlag, 2023. http://dx.doi.org/10.14361/9783839457320-003.
Texto completoAved’yan, Eduard. "Deterministic Algorithms". En Learning Systems, 16–39. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3089-5_2.
Texto completoAved’yan, Eduard. "Stochastic Algorithms". En Learning Systems, 62–71. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3089-5_5.
Texto completoGeetha, T. V. y S. Sendhilkumar. "Classification Algorithms". En Machine Learning, 127–51. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003290100-6.
Texto completoActas de conferencias sobre el tema "Learning algorithms"
Albeanu, Grigore, Henrik Madsen y Florin Popentiuvladicescu. "LEARNING FROM NATURE: NATURE-INSPIRED ALGORITHMS". En eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-158.
Texto completoKamalaruban, Parameswaran, Rati Devidze, Volkan Cevher y Adish Singla. "Interactive Teaching Algorithms for Inverse Reinforcement Learning". En 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.
Texto completoPratuzaitė, Greta y Nijolė Maknickienė. "Investigation of credit cards fraud detection by using deep learning and classification algorithms". En 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.558.
Texto completoXia, Ruiqi, Manman Li y Shaozhen Chen. "Cryptographic Algorithms Identification based on Deep Learning". En 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.
Texto completoDong, Li-yan, Guang-yuan Liu, Sen-miao Yuan, Yong-li Li y Zhen Li. "Classifier Learning Algorithm Based on Genetic Algorithms". En Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icicic.2007.214.
Texto completoWilamowski, Bogdan M. "Advanced learning algorithms". En 2009 International Conference on Intelligent Engineering Systems (INES). IEEE, 2009. http://dx.doi.org/10.1109/ines.2009.4924730.
Texto completoHasan, Mohammed A. "Orthonormalization Learning Algorithms". En 2007 International Joint Conference on Neural Networks. IEEE, 2007. http://dx.doi.org/10.1109/ijcnn.2007.4371247.
Texto completoHurlbert, Anya C. y Tomaso A. Poggio. "Learning Lightness Algorithms". En 1988 Robotics Conferences, editado por David P. Casasent. SPIE, 1989. http://dx.doi.org/10.1117/12.960280.
Texto completoPaun, Alexandru. "EXPERIMENTING WITH DECISION TREES AND INSTANCE-BASED LEARNING ALGORITHMS". En eLSE 2014. Editura Universitatii Nationale de Aparare "Carol I", 2014. http://dx.doi.org/10.12753/2066-026x-14-113.
Texto completoBrown, Jason, Riley O'Neill, Jeff Calder y Andrea L. Bertozzi. "Utilizing contrastive learning for graph-based active learning of SAR data". En Algorithms for Synthetic Aperture Radar Imagery XXX, editado por Edmund Zelnio y Frederick D. Garber. SPIE, 2023. http://dx.doi.org/10.1117/12.2663099.
Texto completoInformes sobre el tema "Learning algorithms"
Stepp, Robert E., Bradley L. Whitehall y Lawrence B. Holder. Toward Intelligent Machine Learning Algorithms. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1988. http://dx.doi.org/10.21236/ada197049.
Texto completoMoody, John. Statistical Learning Theory and Algorithms. Fort Belvoir, VA: Defense Technical Information Center, febrero de 1993. http://dx.doi.org/10.21236/ada270209.
Texto completoHaussler, David y Manfred K. Warmuth. Analyzing the Performance of Learning Algorithms. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1993. http://dx.doi.org/10.21236/ada327588.
Texto completoBertsekas, Dimitri P. Algorithms for Learning and Decision Making. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2013. http://dx.doi.org/10.21236/ada591909.
Texto completoMerzlykin, Pavlo, Natalia Kharadzjan, Dmytro Medvedev, Irina Zakarljuka y Liliia Fadeeva. Scheduling Algorithms Exploring via Robotics Learning. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2877.
Texto completoVarastehpour, Soheil, Hamid Sharifzadeh y Iman Ardekani. A Comprehensive Review of Deep Learning Algorithms. Unitec ePress, 2021. http://dx.doi.org/10.34074/ocds.092.
Texto completoDeJong, Kenneth A. y William M. Spears. Learning Concept Classification Rules using Genetic Algorithms,. Fort Belvoir, VA: Defense Technical Information Center, enero de 1990. http://dx.doi.org/10.21236/ada294470.
Texto completoMoody, John E. New Neural Algorithms for Self-Organized Learning. Fort Belvoir, VA: Defense Technical Information Center, noviembre de 1991. http://dx.doi.org/10.21236/ada249816.
Texto completoMoody, John E. New Neural Algorithms for Self-Organized Learning. Fort Belvoir, VA: Defense Technical Information Center, julio de 1991. http://dx.doi.org/10.21236/ada251771.
Texto completoAlwan, Iktimal, Dennis D. Spencer y Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, diciembre de 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.
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