Literatura académica sobre el tema "Logit Leaf Model"
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Artículos de revistas sobre el tema "Logit Leaf Model"
Latha, Kunchaparthi Jyothsna, Markapudi Baburao y Chaduvula Kavitha. "A Comparative study on Logit leaf model (LLM) and Support leaf model (SLM) for predicting the customer churn". International Journal of Computer Sciences and Engineering 7, n.º 5 (31 de mayo de 2019): 1628–32. http://dx.doi.org/10.26438/ijcse/v7i5.16281632.
Texto completoLo, Venus y Huseyin Topaloglu. "Omnichannel Assortment Optimization Under the Multinomial Logit Model with a Features Tree". Manufacturing & Service Operations Management 24, n.º 2 (marzo de 2022): 1220–40. http://dx.doi.org/10.1287/msom.2021.1001.
Texto completoCoussement, Kristof, Minh Phan, Arno De Caigny, Dries F. Benoit y Annelies Raes. "Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model". Decision Support Systems 135 (agosto de 2020): 113325. http://dx.doi.org/10.1016/j.dss.2020.113325.
Texto completoChiou, Yan-Shiang, Pei-Ing Wu, Je-Liang Liou, Ta-Ken Huang y Chu-Wei Chen. "What Is the Willingness to Pay for a Basket of Agricultural Goods? Multi-Features of Organic, Animal Welfare-Based and Natural Products with No Additives". Agriculture 13, n.º 9 (1 de septiembre de 2023): 1743. http://dx.doi.org/10.3390/agriculture13091743.
Texto completoNita, M., M. A. Ellis y L. V. Madden. "Effects of Temperature, Wetness Duration, and Leaflet Age on Infection of Strawberry Foliage by Phomopsis obscurans". Plant Disease 87, n.º 5 (mayo de 2003): 579–84. http://dx.doi.org/10.1094/pdis.2003.87.5.579.
Texto completoRedinbaugh, Margaret G., Julio E. Molineros, Jean Vacha, Sue Ann Berry, Ronald B. Hammond, Laurence V. Madden y Anne E. Dorrance. "Bean pod mottle virus Spread in Insect-Feeding-Resistant Soybean". Plant Disease 94, n.º 2 (febrero de 2010): 265–70. http://dx.doi.org/10.1094/pdis-94-2-0265.
Texto completoMuller, WJ, K. Helms y PM Waterhouse. "National survey of viruses in pastures of subterranean clover. II. Statistical methodology for large scale quantitative ELISA". Australian Journal of Agricultural Research 44, n.º 8 (1993): 1863. http://dx.doi.org/10.1071/ar9931863.
Texto completoMuller, WJ, K. Helms y PM Waterhouse. "Corrigendum - National survey of viruses in pastures of subterranean clover. II. Statistical methodology for large scale quantitative ELISA". Australian Journal of Agricultural Research 44, n.º 8 (1993): 1863. http://dx.doi.org/10.1071/ar9931863c.
Texto completoHinz, Oliver Fast, Pablo Chilibroste, Gabriel Menegazzi, Matías Oborsky, Cristina Genro, Pablo Soca y Diego A. Mattiauda. "PSXI-31 How is the ingestive behaviour of mid lactating Holstein cows grazing a fescue based pasture under two different defoliation intensities?" Journal of Animal Science 97, Supplement_3 (diciembre de 2019): 385–86. http://dx.doi.org/10.1093/jas/skz258.766.
Texto completoODUNTAN, TOLULOPE KIKELOMO, TEMITAYO OLAYEMI AJAYI y JONES OLANREWAJU MOODY. "PHARMACOGNOSTIC STANDARDIZATION AND ANTIMICROBIAL EVALUATION OF BYRSOCARPUS COCCINEUS SCHUM. AND THONN. (CONNARACEAE)". African Journal of Pharmaceutical Research and Development 16, n.º 2 (7 de junio de 2024): 35–50. http://dx.doi.org/10.59493/ajopred/2024.2.4.
Texto completoTesis sobre el tema "Logit Leaf Model"
Idbenjra, Khaoula. "Essays on Segmented-Modeling Approaches for Business Analytical Applications". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILA027.
Texto completoThe increasing complexities of financial decision-making, intensified by recent financial crises, necessitate transparent advanced predictive modeling, especially in the realms of credit scoring and customer retention. This dissertation explores the significant merits of hybrid segmentation-based models, with a pivotal focus on the Logit Leaf Model (LLM), across varied applications: Business-to-Business (B2B) customer retention, credit scoring, and Non-Performing Loan (NPL) management. The exigency for robust, interpretable, and flexible analytical tools has been amplified, especially against the backdrop of modern financial and economic challenges. Thus, this research meticulously interweaves findings from three pivotal studies to explore and critique the functionality, applicability, and merit of the LLM in diverse contexts.The study in chapter 2 highlights LLM's applicability in B2B scenarios, where customer retention becomes crucial. The study shows how the LLM can improve strategies for B2B customer retention by using uplift modeling and providing essential insights to managers through specific, overall, and segment-level visualizations that strengthen managerial decision-making. The second study, presented in chapter 3, explores the field of credit scoring, spotlighting LLM's superior predictive performance and exceptional interpretability, which makes it stand out amidst traditional models like logistic regression and decision trees, and even when compared to advanced models such as neural networks.Chapter 4, introducing the third study, offers a detailed analysis using the Logit Leaf Model (LLM) to demonstrate its capability to predict and comprehend the complexities of Non-Performing Loans (NPLs). This is achieved through a thorough examination of debtor, loan, and macroeconomic features. The model's ability to concurrently provide precise predictions and yield practical insights, when compared with various alternate credit risk models, accentuates its practicality in managing financial risk, especially within retail banking scenarios.Through a thorough exploration and combination of the studies mentioned above, this dissertation highlights the LLM's varied abilities in navigating through different but inherently data-driven fields. It raises discussion on the usefulness of hybrid segmentation-based models in making complex decisions, praising the LLM for its ability to combine predictive power with interpretability and act as a powerful tool across various applications. The dissertation also suggests areas for future research in chapter 5, encouraging further exploration into the scalability, adaptability, and potential improvements of the LLM across various sectors and analytical challenges
Srikantaiah, Sanjay. "A model of lean-sigma to enhance a manufacturing system through integrating lean manufacturing and Six sigma approaches". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Texto completoGuimarães, Erica Peixoto. "Modelo multiobjetivo Fuzzy de análise envoltória de dados na avaliação da eficiência de máquinas industriais em um contexto sob incerteza /". Guaratinguetá, 2019. http://hdl.handle.net/11449/183470.
Texto completoResumo: A gestão baseada no Lean Manufacturing tem como princípio o desenvolvimento de processos enxutos com a capacidade de utilizar da melhor forma os recursos disponíveis e eliminar atividades que não agregam valor. Com isso, o programa Total Productive Maintenance (TPM), está entre os métodos que auxiliam nesse objetivo, pois desenvolve a função de gerir a manutenção de máquinas, equipamentos e meio ambiente de trabalho de forma que os investimentos feitos tendam ao aumento da eficiência global. Para isso, uma maneira de controlar o desempenho dos processos é aplicando ferramentas capazes de mensurar a eficiência relativa. Pois, além de verificar quantitativamente a eficiência relativa, estes métodos e ferramentas servem de fundamentação para auxiliar os gestores na tomada de decisões nas organizações. A empresa em estudo, uma multinacional de autopeças situada no Vale do Paraíba/SP, emprega o programa TPM e apoia-se no indicador Overall Equipment Effectiveness (OEE) para as avaliações de eficiência. Entretanto, o presente estudo propôs um indicador de eficiência que combina um modelo multicritério com a Lógica dos Conjuntos Fuzzy, no qual, diferentemente do OEE, é possível escolher os parâmetros que interferem na eficiência do processo e adicionar o conhecimento dos especialistas aos dados nítidos para assim, verificar o comportamento do cenário. Para o indicador proposto, foram simulados três cenários, dispostos em forma de ranking (do mais eficiente ao menos eficiente) e compa... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Management based on Lean Manufacturing has as principle the development of lean processes with the ability to make the best use of available resources and eliminate activities that do not add value. Thus, the Total Productive Maintenance (TPM) program is one of the methods that help this goal, because it develops the role of managing the maintenance of machinery, equipment and working environment, for that the investments made tend to increase the overall efficiency. For this, one way to control process performance is to apply tools developed to measure relative efficiency. Because, in addition to quantitatively verifying relative efficiency, these methods and tools are based managers for decision-making in organizations. The company under study, an auto parts multinational located in Vale do Paraíba / SP, use the TPM program and for efficiency assessments is supported by the Overall Equipment Effectiveness (OEE) indicator. However, the present study proposed an efficiency indicator that combines a multicriteria model with the Fuzzy Set Logic, in which, unlike OEE, it is possible to choose the parameters that interfere in the process efficiency and to add expert knowledge to the clear data for verify the behavior of the scenario. For the proposed indicator, three scenarios were simulated, creating the ranking (from the most efficient to the least efficient) and compared to the OEE indicator ranking. Once this was done, it was observed that there was divergence in most positio... (Complete abstract click electronic access below)
Mestre
Farag, Moataz Awad Mahpoob [Verfasser]. "An integration of a buffering assessment model using fuzzy logic with lean management for improving highway construction process / von Moataz Awad Mahpoob Farag". 2010. http://d-nb.info/1003627935/34.
Texto completoLibros sobre el tema "Logit Leaf Model"
Kernel leaf: An experimental logic plus functional language : its syntax, semantics and computational model. Torino: CSELT., 1986.
Buscar texto completoGlasgow, Garrett y R. Michael Alvarez. Discrete Choice Methods. Editado por Janet M. Box-Steffensmeier, Henry E. Brady y David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0022.
Texto completoCapítulos de libros sobre el tema "Logit Leaf Model"
Pawełek, Barbara y Józef Pociecha. "Corporate Bankruptcy Prediction with the Use of the Logit Leaf Model". En Studies in Classification, Data Analysis, and Knowledge Organization, 129–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52348-0_9.
Texto completoÜstünışık, Elif, Ahmet Kırlı, İsmail O. Er y Yunus E. Erginsoy. "Improvement of the Simulation Model for High Accuracy Leaf Spring Test Bench by Implementing Fuzzy Logic". En Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 1335–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_156.
Texto completoDas, Moumita, Xingyu Tao, Yuqing Xu y Jack C. P. Cheng. "A Blockchain-Based Secure Submission Management Framework for Design and Construction Phases". En CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 335–42. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.32.
Texto completoDas, Moumita, Xingyu Tao, Yuqing Xu y Jack C. P. Cheng. "A Blockchain-Based Secure Submission Management Framework for Design and Construction Phases". En CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 335–42. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.32.
Texto completoChilwal, Bhavna y P. K. Mishra. "A Model for Predicting Occurrence of Leaf Blast Disease in Rice Crop by Using Fuzzy Logic Techniques". En International Conference on Intelligent Computing and Smart Communication 2019, 19–25. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0633-8_3.
Texto completoRamírez, Eduardo, Patricia Melin y German Prado-Arechiga. "Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification". En Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 193–217. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34135-0_14.
Texto completoCauli, Claudia, Magdalena Ortiz y Nir Piterman. "Actions over Core-Closed Knowledge Bases". En Automated Reasoning, 281–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10769-6_17.
Texto completoEchenim, Mnacho, Radu Iosif y Nicolas Peltier. "Unifying Decidable Entailments in Separation Logic with Inductive Definitions". En Automated Deduction – CADE 28, 183–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79876-5_11.
Texto completoEchavarria-Heras, Hector, Cecilia Leal-Ramirez, Juan Ramón Castro-Rodríguez, Enrique Villa Diharce y Oscar Castillo. "A Takagi–Sugeno-Kang Fuzzy Model Formalization of Eelgrass Leaf Biomass Allometry with Application to the Estimation of Average Biomass of Leaves in Shoots: Comparing the Reproducibility Strength of the Present Fuzzy and Related Crisp Proxies". En Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 329–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71008-2_25.
Texto completoOjasalo, Jukka y Katri Ojasalo. "Service Logic Business Model Canvas for Lean Development of SMEs and Start-Ups". En Sustainable Business, 436–63. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9615-8.ch020.
Texto completoActas de conferencias sobre el tema "Logit Leaf Model"
Nurrohman, A., S. Abdullah y H. Murfi. "Parkinson’s disease subtype classification: Application of decision tree, logistic regression and logit leaf model". En PROCEEDINGS OF THE 5TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES (ISCPMS2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0007880.
Texto completoKuji, N., T. Takeda, S. Nakamura y Y. Komine. "Fault Verification Simulation for Light-Emission Microscopy and Liquid-Crystal Analysis". En ISTFA 1996. ASM International, 1996. http://dx.doi.org/10.31399/asm.cp.istfa1996p0121.
Texto completoDonndelinger, Joseph A., Jeffrey A. Robinson y Luke A. Wissmann. "Choice Model Specification in Market-Based Engineering Design". En ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-50071.
Texto completoBott, Terry F. y Stephen W. Eisenhawer. "A Logic Model Approach to Conceptual Design of a Scientific/Industrial Complex". En ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1382.
Texto completoWu, Hsiu-Ming y Reza Tafreshi. "Air-Fuel Ratio Control of Lean-Burn SI Engines Using Fuzzy Sliding-Model Technique". En ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5162.
Texto completoPrilianti, Kestrilia R., Samuel P. Yuwono, Marcelinus A. S. Adhiwibawa, Monika N. P. Prihastyanti, Leenawaty Limantara y Tatas H. P. Brotosudarmo. "Automatic leaf color level determination for need based fertilizer using fuzzy logic on mobile application: A model for soybean leaves". En 2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE). IEEE, 2014. http://dx.doi.org/10.1109/iciteed.2014.7007895.
Texto completoLi, Xu, Dov Gabbay y Réka Markovich. "Dynamic Deontic Logic for Permitted Announcements". En 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/23.
Texto completoIslamov, Rustam y Vasily Ustinov. "Computer Program PRAISE: Uncertainty Analysis of Heat Exchanger Three-Dimensional Flow Speed Model". En ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1039.
Texto completoPetroff, Neil B., Paul A. C. Mason y Kim D. Reisinger. "A Hand Model for the Development and Validation of a Fuzzy Controlled Orthosis". En ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0151.
Texto completoVon Hagel, Kayla A. y Scott M. Ferguson. "Simulating Variability of Rework Cost and Market Performance Estimates in Product Redesign". En ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47598.
Texto completoInformes sobre el tema "Logit Leaf Model"
Kneale, Dylan, James Thomas, Mukdarut Bangpan, Hugh Waddington y David Gough. Causal chain analysis in systematic reviews of international development interventions. Centre for Excellence and Development Impact and Learning (CEDIL), 2018. http://dx.doi.org/10.51744/cip4.
Texto completoSergeyev, Mykola. Ukrainian National Idea in the Modern Ukrainian Media Space. Ivan Franko National University of Lviv, febrero de 2022. http://dx.doi.org/10.30970/vjo.2022.51.11407.
Texto completoElliott, Jane, Maureen Muir y Judith Green. Trajectories of everyday mobility at older age. Wellcome Centre for Cultures and Environments of Health, enero de 2023. http://dx.doi.org/10.58182/bnec3269.
Texto completoMcKenna, Patrick y Mark Evans. Emergency Relief and complex service delivery: Towards better outcomes. Queensland University of Technology, junio de 2021. http://dx.doi.org/10.5204/rep.eprints.211133.
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