Literatura académica sobre el tema "Addressing Machines"
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Artículos de revistas sobre el tema "Addressing Machines"
CURRAN, KEVIN, NEIL McCAUGHLEY y XUELONG LI. "ADDRESSING THE PROBLEMS OF DETECTING FACES WITH NEURAL NETWORKS". International Journal of Image and Graphics 07, n.º 04 (octubre de 2007): 617–40. http://dx.doi.org/10.1142/s0219467807002830.
Texto completoGulcehre, Caglar, Sarath Chandar, Kyunghyun Cho y Yoshua Bengio. "Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes". Neural Computation 30, n.º 4 (abril de 2018): 857–84. http://dx.doi.org/10.1162/neco_a_01060.
Texto completoRakes, David, Muhammad Arif, Agus Setiawan, Kerina Putri Nasution y Yudi Prastyo. "Preventive Maintenance on CNC Machines Using the OEE Method to Reduce Downtime at PT. MTAT". Jurnal Impresi Indonesia 3, n.º 7 (5 de julio de 2024): 481–90. http://dx.doi.org/10.58344/jii.v3i7.5116.
Texto completoHosseini, Ahmad, Ola Lindroos y Eddie Wadbro. "A holistic optimization framework for forest machine trail network design accounting for multiple objectives and machines". Canadian Journal of Forest Research 49, n.º 2 (febrero de 2019): 111–20. http://dx.doi.org/10.1139/cjfr-2018-0258.
Texto completoPortase, Raluca Laura, Ramona Tolas y Rodica Potolea. "SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities". Sensors 24, n.º 7 (28 de marzo de 2024): 2159. http://dx.doi.org/10.3390/s24072159.
Texto completoTirkashev Dilshodjon Sharobiddin o’gli. "AI and Pragmalinguistics: Bridging the Gap Between Machines and Human Communication". Journal of Advanced Zoology 44, S6 (10 de diciembre de 2023): 1760–66. http://dx.doi.org/10.17762/jaz.v44is6.2614.
Texto completoFlowers, Michael y Kai Cheng. "Global Manufacturing: Reconfiguration of Machines in Addressing Changing Customer Requirement Scenarios". Applied Mechanics and Materials 16-19 (octubre de 2009): 15–19. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.15.
Texto completoManzotti, Riccardo y Antonio Chella. "Conscious Machines: A Possibility? If So, How?" Journal of Artificial Intelligence and Consciousness 07, n.º 02 (24 de julio de 2020): 183–98. http://dx.doi.org/10.1142/s2705078520710022.
Texto completoStelzner, Marc, Falko Dressler y Stefan Fischer. "Function Centric Nano-Networking: Addressing nano machines in a medical application scenario". Nano Communication Networks 14 (diciembre de 2017): 29–39. http://dx.doi.org/10.1016/j.nancom.2017.09.001.
Texto completoSin, Dong Eui. "A Study on Moral Education in the Age of Artificial Intelligence: Focusing on the Distinction and Application of Ethics of Artificial Moral Agent (AMA)". Korean Journal of Teacher Education 39, n.º 3 (31 de mayo de 2023): 29–48. http://dx.doi.org/10.14333/kjte.2023.39.3.02.
Texto completoTesis sobre el tema "Addressing Machines"
Munnich, Nicolas. "Operational and categorical models of PCF : addressing machines and distributing semirings". Electronic Thesis or Diss., Paris 13, 2024. http://www.theses.fr/2024PA131015.
Texto completoDespite being introduced over 60 years ago, PCF remains of interest. Though the quest for a satisfactory fully abstract model of PCF was resolved around the turn of the millennium, new models of PCF still frequently appear in the literature, investigating unexplored avenues or using PCF as a lens or tool to investigate some other mathematical construct. In this thesis, we build upon our knowledge of models of PCF in two distinct ways: Constructing a brand new model, and building upon existing models. Addressing Machines are a relatively new type of abstract machine taking inspiration from Turing Machines. These machines have been previously shown to model the full untyped ?- calculus. We build upon these machines to construct Extended Addressing Machines (EAMs) and endow them with a type system. We then show that these machines can be used to obtain a new and distinct fully abstract model of PCF: We show that the machines faithfully simulatePCF in such a way that a PCF term terminates in a numeral exactly when the corresponding Extended Addressing Machine terminates in the same numeral. Likewise, we show that every typed Extended Addressing Machine can be transformed into a PCF program with the same observational behaviour. From these two results, it follows that the model of PCF obtained by quotienting typable EAMs by a suitable logical relation is fully abstract. There exist a plethora of sound categorical models of PCF, due to its close relationship with the ?-calculus. We consider two similar models (which are also models of Linear Logic) that are based on semirings: Weighted models, using semirings to quantify some internal value, and Multiplicity models, using semirings to linearly model functions (model the exponential !). We investigate the intersection between these two models by investigating the conditions under which two monads derived from specific semirings distribute. We discover that whether or not a semiring has an idempotent sum makes a large difference in its ability to distribute. Our investigation leads us to discover the notion of an unnatural distribution, which forms a monad on a Kleislicategory. Finally, we present precise conditions under which a particular distribution can form between two semirings
RICCI, FRANCESCO. "Effective Product Lifecycle Management: the role of uncertainties in addressing design, manufacturing and verification processes". Doctoral thesis, Politecnico di Torino, 2012. http://hdl.handle.net/11583/2501694.
Texto completoWang, Fulton. "Addressing two issues in machine learning : interpretability and dataset shift". Thesis, Massachusetts Institute of Technology, 2018. https://hdl.handle.net/1721.1/122870.
Texto completoCataloged from PDF version of thesis.
Includes bibliographical references (pages 71-77).
In this thesis, I create solutions to two problems. In the first, I address the problem that many machine learning models are not interpretable, by creating a new form of classifier, called the Falling Rule List. This is a decision list classifier where the predicted probabilities are decreasing down the list. Experiments show that the gain in interpretability need not be accompanied by a large sacrifice in accuracy on real world datasets. I then briefly discuss possible extensions that allow one to directly optimize rank statistics over rule lists, and handle ordinal data. In the second, I address a shortcoming of a popular approach to handling covariate shift, in which the training distribution and that for which predictions need to be made have different covariate distributions. In particular, the existing importance weighting approach to handling covariate shift suffers from high variance if the two covariate distributions are very different. I develop a dimension reduction procedure that reduces this variance, at the expense of increased bias. Experiments show that this tradeoff can be worthwhile in some situations.
by Fulton Wang.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Vendra, Soujanya. "Addressing corner detection issues for machine vision based UAV aerial refueling". Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4551.
Texto completoTitle from document title page. Document formatted into pages; contains xi, 121 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 90-95).
Heffernan, Rhys. "Addressing One-Dimensional Protein Structure Prediction Problems with Machine Learning Techniques". Thesis, Griffith University, 2018. http://hdl.handle.net/10072/381401.
Texto completoThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Eng & Built Env
Science, Environment, Engineering and Technology
Full Text
RAGONESI, RUGGERO. "Addressing Dataset Bias in Deep Neural Networks". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1069001.
Texto completoAl-Shahib, Ali Walid. "Addressing the core challenges in predicting protein function from sequence using machine learning". Thesis, University of Glasgow, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.425167.
Texto completoRendleman, Michael. "Machine learning with the cancer genome atlas head and neck squamous cell carcinoma dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality". Thesis, University of Iowa, 2019. https://ir.uiowa.edu/etd/6841.
Texto completoMollen, Anne. "Addressing the ghost in the machine or “Is engagement a sustainable intermediate variable between the website drivers of consumer experience and consumers’ attitudinal and behavioural outputs?”". Thesis, Cranfield University, 2007. http://hdl.handle.net/1826/2047.
Texto completoKonishcheva, Kseniia. "Novel strategies for identifying and addressing mental health and learning disorders in school-age children". Electronic Thesis or Diss., Université Paris Cité, 2023. http://www.theses.fr/2023UNIP7083.
Texto completoThe prevalence of mental health and learning disorders in school-age children is a growing concern. Yet, a significant delay exists between the onset of symptoms and referral for intervention, contributing to long-term challenges for affected children. The current mental health system is fragmented, with teachers possessing valuable insights into their students' well-being but limited knowledge of mental health, while clinicians often only encounter more severe cases. Inconsistent implementation of existing screening programs in schools, mainly due to resource constraints, suggests the need for more effective solutions. This thesis presents two novel approaches for improvement of mental health and learning outcomes of children and adolescents. The first approach uses data-driven methods, leveraging the Healthy Brain Network dataset which contains item-level responses from over 50 assessments, consensus diagnoses, and cognitive task scores from thousands of children. Using machine learning techniques, item subsets were identified to predict common mental health and learning disability diagnoses. The approach demonstrated promising performance, offering potential utility for both mental health and learning disability detection. Furthermore, our approach provides an easy-to-use starting point for researchers to apply our method to new datasets. The second approach is a framework aimed at improving the mental health and learning outcomes of children by addressing the challenges faced by teachers in heterogeneous classrooms. This framework enables teachers to create tailored teaching strategies based on identified needs of individual students, and when necessary, suggest referral to clinical care. The first step of the framework is an instrument designed to assess each student's well-being and learning profile. FACETS is a 60-item scale built through partnerships with teachers and clinicians. Teacher acceptance and psychometric properties of FACETS are investigated. Preliminary pilot study demonstrated overall acceptance of FACETS among teachers. In conclusion, this thesis presents a framework to bridge the gap in detection and support of mental health and learning disorders in school-age children. Future studies will further validate and refine our tools, offering more timely and effective interventions to improve the well-being and learning outcomes of children in diverse educational settings
Libros sobre el tema "Addressing Machines"
Office, General Accounting. International trade: U.S. Customs and Border Protection faces challenges in addressing illegal textile transshipment : report to congressional committees. Washington, D.C: GAO, 2004.
Buscar texto completoThe World Market for Addressing Machines and Address Plate Embossing Machines: A 2004 Global Trade Perspective. Icon Group International, Inc., 2005.
Buscar texto completoParker, Philip M. The World Market for Addressing Machines and Address Plate Embossing Machines: A 2007 Global Trade Perspective. ICON Group International, Inc., 2006.
Buscar texto completoParker, Philip M. The 2007-2012 World Outlook for Electric Pencil Sharpeners, Staplers, and Other Electric Office Machines Excluding Mailing, Letter Handling, and Addressing Machines. ICON Group International, Inc., 2006.
Buscar texto completoThe 2006-2011 World Outlook for Electric Pencil Sharpeners, Staplers, and Other Electric Office Machines Excluding Mailing, Letter Handling, and Addressing Machines. Icon Group International, Inc., 2005.
Buscar texto completoParker, Philip M. The 2007-2012 Outlook for Electric Pencil Sharpeners, Staplers, and Other Electric Office Machines Excluding Mailing, Letter Handling, and Addressing Machines in Japan. ICON Group International, Inc., 2006.
Buscar texto completoParker, Philip M. The 2007-2012 Outlook for Electric Pencil Sharpeners, Staplers, and Other Electric Office Machines Excluding Mailing, Letter Handling, and Addressing Machines in India. ICON Group International, Inc., 2006.
Buscar texto completoThe 2006-2011 World Outlook for Mailing, Letter Handling, and Addressing Machines Excluding Parts and Attachments. Icon Group International, Inc., 2005.
Buscar texto completoParker, Philip M. The 2007-2012 World Outlook for Mailing, Letter Handling, and Addressing Machines Excluding Parts and Attachments. ICON Group International, Inc., 2006.
Buscar texto completoParker, Philip M. The 2007-2012 Outlook for Electric Pencil Sharpeners, Staplers, and Other Electric Office Machines Excluding Mailing, Letter Handling, and Addressing Machines in Greater China. ICON Group International, Inc., 2006.
Buscar texto completoCapítulos de libros sobre el tema "Addressing Machines"
Venstermans, Kris, Lieven Eeckhout y Koen De Bosschere. "Object-Relative Addressing: Compressed Pointers in 64-Bit Java Virtual Machines". En ECOOP 2007 – Object-Oriented Programming, 79–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73589-2_5.
Texto completoSotiropoulos, Dionisios N. y George A. Tsihrintzis. "Addressing the Class Imbalance Problem". En Machine Learning Paradigms, 79–106. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47194-5_4.
Texto completoBernth, Arendse. "EasyEnglish: Addressing Structural Ambiguity". En Machine Translation and the Information Soup, 164–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49478-2_16.
Texto completoPennekamp, Jan, Anastasiia Belova, Thomas Bergs, Matthias Bodenbenner, Andreas Bührig-Polaczek, Markus Dahlmanns, Ike Kunze et al. "Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead". En Internet of Production, 1–26. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_2-2.
Texto completoPennekamp, Jan, Anastasiia Belova, Thomas Bergs, Matthias Bodenbenner, Andreas Bührig-Polaczek, Markus Dahlmanns, Ike Kunze et al. "Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead". En Internet of Production, 1–25. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_2-1.
Texto completoPennekamp, Jan, Anastasiia Belova, Thomas Bergs, Matthias Bodenbenner, Andreas Bührig-Polaczek, Markus Dahlmanns, Ike Kunze et al. "Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead". En Internet of Production, 35–60. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_2.
Texto completoBallestar, María Teresa, María Teresa Freire-Rubio y Arturo Ortigosa-Blanch. "Tutoring and Its Effects on Academic Achievement: A Policy Evaluation with Machine Learning Methods". En Addressing Inequities in Modern Educational Assessment, 53–70. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-45802-6_4.
Texto completoLi, Qiang, Dongdong Zhang, Mu Li, Tong Xiao y Jingbo Zhu. "Better Addressing Word Deletion for Statistical Machine Translation". En Natural Language Understanding and Intelligent Applications, 91–102. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50496-4_8.
Texto completoSatheesh, Meganathan Kumar y Korupalli V. Rajesh Kumar. "Addressing the Utilization of Popular Regression Models in Business Applications". En Machine Learning for Business Analytics, 29–43. New York: Productivity Press, 2022. http://dx.doi.org/10.4324/9781003206316-3.
Texto completoBach, Nicolas, Andrew Melnik, Federico Rosetto y Helge Ritter. "An Error-Based Addressing Architecture for Dynamic Model Learning". En Machine Learning, Optimization, and Data Science, 617–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64580-9_51.
Texto completoActas de conferencias sobre el tema "Addressing Machines"
Navas Molina, Jose Antonio y Shivakant Mishra. "Addressing memory exhaustion failures in Virtual Machines in a cloud environment". En 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN). IEEE, 2013. http://dx.doi.org/10.1109/dsn.2013.6575330.
Texto completoIslam, Asif y Nachiket Kapre. "LegUp-NoC: High-Level Synthesis of Loops with Indirect Addressing". En 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM). IEEE, 2018. http://dx.doi.org/10.1109/fccm.2018.00027.
Texto completoMellor, Philip H., Callum Heath, Suzanne Collins, Nick Simpson y Ian Bond. "Addressing the Challenges of Lightweight Aircraft Electric Propulsion through Electrical Machines with Air-gap Windings". En 2019 IEEE Energy Conversion Congress and Exposition (ECCE). IEEE, 2019. http://dx.doi.org/10.1109/ecce.2019.8911841.
Texto completoCaulfield, H. John. "Calculating machines based on content addressable memories". En OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.wt1.
Texto completoKneissler, Andreas y Stefan Oelbracht. "Addressing the Practical Challenges of Implementing Blockchain in Engineering and Manufacturing". En AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004313.
Texto completoHonegger, A., A. Tulsian, E. Creighton, A. Phillip y D. Mukhopadhyay. "Development of a Small 5-Axis Micro-Milling Center for Parts Up to 100 mm in Diameter". En ASME 2010 International Manufacturing Science and Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/msec2010-34221.
Texto completoTaylor, Frank, S. Jayaram, U. Jayaram y Tatsuki Mitsui. "Functionality to Facilitate Assembly of Heavy Machines in a Virtual Environment". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14590.
Texto completoKravchenko, Sergey, Natalia Kravchenko, Nikolay Kuleshov, Igor Laptinov, Andrey Kravchenko y Daria Panova. "Vacuum evaporating machine for liquid products based on flammable solvents". En 23rd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering and Information Technologies, 2024. http://dx.doi.org/10.22616/erdev.2024.23.tf197.
Texto completoKrishnaswamy, Kailash y Perry Y. Li. "Bondgraph Based Approach to Passive Teleoperation of a Hydraulic Backhoe". En ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61244.
Texto completoKessler, Melanie, Oliver Antons y Julia Arlinghaus. "Designing hybrid intelligence: understanding the impact of human decision-making on AI". En 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005148.
Texto completoInformes sobre el tema "Addressing Machines"
Baker, James E., Laurie Hobart y Matthew Mitterlsteadt. AI for Judges. Center for Security and Emerging Technology, diciembre de 2021. http://dx.doi.org/10.51593/20190019.
Texto completoKim, Kyungmee y Boulanin Vincent. Artificial Intelligence for Climate Security: Possibilities and Challenges. Stockholm International Peace Research Institute, diciembre de 2023. http://dx.doi.org/10.55163/qdse8934.
Texto completoDudoit, Alain. European common data spaces: a structuring initiative that is both necessary and adaptable to Canada. CIRANO, noviembre de 2023. http://dx.doi.org/10.54932/skhp9567.
Texto completoSheets, Colton. PR-201-154500-R01 Composite Repair Load Transfer Study. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), marzo de 2018. http://dx.doi.org/10.55274/r0011468.
Texto completoPetit, Vincent. Road to a rapid transition to sustainable energy security in Europe. Schneider Electric Sustainability Research Institute, octubre de 2022. http://dx.doi.org/10.58284/se.sri.bcap9655.
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