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Статті в журналах з теми "GEC Models"
Lee, Myunghoon, Hyeonho Shin, Dabin Lee, and Sung-Pil Choi. "Korean Grammatical Error Correction Based on Transformer with Copying Mechanisms and Grammatical Noise Implantation Methods." Sensors 21, no. 8 (April 10, 2021): 2658. http://dx.doi.org/10.3390/s21082658.
Повний текст джерелаMusyafa, Ahmad, Ying Gao, Aiman Solyman, Chaojie Wu, and Siraj Khan. "Automatic Correction of Indonesian Grammatical Errors Based on Transformer." Applied Sciences 12, no. 20 (October 14, 2022): 10380. http://dx.doi.org/10.3390/app122010380.
Повний текст джерелаLin, Nankai, Boyu Chen, Xiaotian Lin, Kanoksak Wattanachote, and Shengyi Jiang. "A Framework for Indonesian Grammar Error Correction." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 4 (May 26, 2021): 1–12. http://dx.doi.org/10.1145/3440993.
Повний текст джерелаAfraimovich, E. L., E. I. Astafyeva, A. V. Oinats, Yu V. Yasukevich, and I. V. Zhivetiev. "Global electron content: a new conception to track solar activity." Annales Geophysicae 26, no. 2 (February 26, 2008): 335–44. http://dx.doi.org/10.5194/angeo-26-335-2008.
Повний текст джерелаCybulsky, A. V., J. C. Monge, J. Papillon, and A. J. McTavish. "Complement C5b-9 activates cytosolic phospholipase A2 in glomerular epithelial cells." American Journal of Physiology-Renal Physiology 269, no. 5 (November 1, 1995): F739—F749. http://dx.doi.org/10.1152/ajprenal.1995.269.5.f739.
Повний текст джерелаZhao, Zewei, and Houfeng Wang. "MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (April 3, 2020): 1226–33. http://dx.doi.org/10.1609/aaai.v34i01.5476.
Повний текст джерелаAmato, Timothy W. "On Difference Equations, Probability Models and the “Generalized Event Count” Distribution." Political Analysis 6 (1996): 175–212. http://dx.doi.org/10.1093/pan/6.1.175.
Повний текст джерелаLi, Jiquan, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, and Linli Xu. "Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 10974–82. http://dx.doi.org/10.1609/aaai.v36i10.21345.
Повний текст джерелаCybulsky, Andrey V., Richard J. Quigg, and David J. Salant. "Experimental membranous nephropathy redux." American Journal of Physiology-Renal Physiology 289, no. 4 (October 2005): F660—F671. http://dx.doi.org/10.1152/ajprenal.00437.2004.
Повний текст джерелаLichtarge, Jared, Chris Alberti, and Shankar Kumar. "Data Weighted Training Strategies for Grammatical Error Correction." Transactions of the Association for Computational Linguistics 8 (October 2020): 634–46. http://dx.doi.org/10.1162/tacl_a_00336.
Повний текст джерелаДисертації з теми "GEC Models"
Pedersen, Michael. "Modular languages for systems and synthetic biology." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4602.
Повний текст джерелаZhai, Menghua. "Deep Probabilistic Models for Camera Geo-Calibration." UKnowledge, 2018. https://uknowledge.uky.edu/cs_etds/74.
Повний текст джерелаCorr?a, F?bio Mathias. "Metodologia de avalia??o da requeima e sele??o de gen?tipos de tomate resistentes a Phytophthora infestans (Mont) de Bary." Universidade Federal Rural do Rio de Janeiro, 2008. https://tede.ufrrj.br/jspui/handle/tede/525.
Повний текст джерелаConselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico
The late blight of the tomato, caused by Phytophthora infestans (Mont) of Bary it is one of the main diseases of the tomato. However, the quantification of the severity of the disease, doesn't possess a standard method of evaluation and that, it can interfere in the comparison of results among and inside of experiments, once the scale of evaluation of the disease should be standardized. A diagrammatic scale should represent all variation of the existent disease in the field and to make possible necessary evaluations and perfected, independent of the existent differences among appraisers. Another important factor in the epidemiological studys, is the correct application of the methodologies of evaluation of treatments or cultivars. Therefore, the present work has as objectives: 1) to develop and to validate a diagrammatic scale for quantification of the severity of the late blight in tomateiro leaves and 2) to compare the use of AUDPC (area under disease progress curve), certain according to Shanner & Finney (1977), with the use of mixed models and mixed lineal models widespread in the selection of gen?tipos of resistant tomateiro to the requeima. Three diagrammatics scales were proposed for evaluation of the late blight in tomato leaves. The first scale, denominated scale-detailed, it was composed by nine values of severity intensity (0, 3, 6, 12, 22, 40, 60, 77 and 90%), the second climb, call of having scale-simplified, it was composed by seven severity values (0, 3, 12, 22, 40, 60 and 77%) and the third scale, of having James-modified, composed by seven severity values (0, 1, 5, 10, 16, 32 and 50%). For the validation of the scales, 24 appraisers accomplished two evaluations in leaves 50 tomato leaves with different severity levels, where the precision, acuracy and repetibility were appraised through simple lineal regression, analysis of variance of the mistakes and correlation coefficient. Among the proposed scales, two came as tools that allow a good precision and acuracy in the evaluation of the severity of the late blight in tomato leaves, being the detailed scale and the simplified scale. With relationship to the analysis methods, the use of direct AACPD, calculated by the sum of Riemann, and of mixed and mixed models widespread, it was verified that the direct use of AUDPC, doesn't get to describe all existent variation in the sample, probably for the great number of treatments. The use of mixed models widespread, that it considers the distribution of Poisson, it was shown more appropriate for to describe the epidemic caused by late blight in tomato, being more suitable in the selection of tomato cultivars seeking to the resistance the this disease.
A requeima, causada por Phytophthora infestans ? uma das principais doen?as do tomateiro. Para quantificar a severidade da doen?a, n?o h? um m?todo padr?o, o que pode interferir na compara??o de resultados entre e dentro de experimentos, uma vez que a escala de avalia??o da doen?a deve ser padronizada. Uma escala diagram?tica deve representar toda a varia??o da severidade no campo e possibilitar avalia??es precisas e acuradas, independente das diferen?as entre avaliadores. Outro fator importante no estudo epidemiol?gico ? a correta aplica??o das metodologias de avalia??o de tratamentos ou gen?tipos. Portanto, o presente trabalho objetivou: 1) desenvolver e validar uma escala diagram?tica para quantifica??o da severidade da requeima em folhas de tomateiro e 2) comparar o uso da ?rea abaixo da curva de progresso da doen?a (AACPD), com o uso de modelos mistos e modelos lineares mistos generalizados na sele??o de gen?tipos de tomateiro resistentes ? requeima. Tr?s escalas diagram?ticas foram propostas para avalia?ar a requeima em folhas de tomateiro. A primeira, denominada escala-detalhada, foi composta por nove valores de intensidade de severidade (0, 3, 6, 12, 22, 40, 60, 77 e 90%). A segunda escala, chamada de escala-simplificada, foi composta por sete valores de severidade (0, 3, 12, 22, 40, 60 e 77%) e a terceira, de Jamesmodificada, composta por sete valores de severidade (0, 1, 5, 10, 16, 32 e 50%). Para a valida??o das escalas, 24 avaliadores realizaram duas avalia??es em 50 folhas de tomateiro com diferentes n?veis de severidade, e a precis?o, acur?cia e a repetibilidade dos avaliadores foram avaliados atrav?s de regress?o linear simples, an?lise de vari?ncia dos erros e coeficiente de correla??o de Pearson. Dentre as escalas propostas, duas (escala detalhada e escala simplificada) apresentaram uma boa precis?o e acur?cia para a avalia??o da severidade da requeima em folhas de tomateiro. Quanto aos m?todos de an?lise, constatou-se que o uso direto da AACPD, obtido pela soma de Riemann, n?o conseguiu descrever toda varia??o existente na amostra, provavelmente pelo grande n?mero de tratamentos. O uso de modelos mistos generalizados, que considera a distribui??o de Poisson, foi mais adequado para descrever a epidemia, sendo mais indicado na sele??o de gen?tipos de tomate resistentes a doen?a.
Betrabet, Chinmay Suresh. "Inorganic-organic hybrid materials and abrasion resistant coatings based on a sol-gel approach." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40188.
Повний текст джерелаPh. D.
Chung, Hyoju. "GEE with large cluster sizes : high-dimensional working correlation models /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/9545.
Повний текст джерелаKeogh, Andrew James, University of Western Sydney, of Science Technology and Environment College, and School of Engineering and Industrial Design. "Geo-chemical budget models of the Penrith Lakes Scheme." THESIS_CSTE_EID_Keogh_A.xml, 2003. http://handle.uws.edu.au:8081/1959.7/472.
Повний текст джерелаDoctor of Philosophy (PhD)
Keogh, Andrew James. "Geo-chemical budget models of the Penrith Lakes Scheme /." View thesis, 2003. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20040528.121937/index.html.
Повний текст джерела"A thesis submitted to the School of Engineering and Industrial Design, University of Western Sydney, in partial fulfilment of the requirements of the degree of Doctor of Philosophy." Includes bibliographical references and appendices.
Lee, Woojin. "Polymer gel based actuator : dynamic model of gel for real time control." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10939.
Повний текст джерелаMcSweeny, Andrew. "Genome Evolution Model (GEM): Design and Application." University of Toledo Health Science Campus / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=mco1290550446.
Повний текст джерелаCosta, João Pedro Tavares Pereira da. "Caracterização de serviços de Internet geo-replicados." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11881.
Повний текст джерелаCom o aumento da popularidade de serviços distribuídos que recorrem à geo-replicação, a comunidade científica tem efectuado um esforço activo para desenvolver modelos de consistência e esquemas de replicação, que permitam a estas aplicações encontrar um equilíbrio adequado entre desempenho e a exposição da camada de replicação para os utilizadores destas aplicações. No entanto, é pouco claro quais os modelos de consistência que são oferecidos por aplicações reais e extremamente populares, como por exemplo o Facebook ou o Twitter. Nesta tese é proposta uma metodologia e é descrita uma arquitectura que pretende validar um conjunto de propriedades relevantes relativas ao modelo de consistência oferecido por aplicações reais de grande escala. Em particular a nossa abordagem permite verificar violações de propriedades de sessão bem conhecidas, assim como verificar se a causalidade entre os efeitos das operações observados pelos utilizadores é violada. Adicionalmente, a nossa abordagem tenta também inferir a janela de divergência observada pelos clientes. Desta forma consegue-se observar que garantias de consistência são respeitadas por um serviço distribuído sem que seja necessário ter conhecimento sobre o seu funcionamento interno, permitindo construindo melhores modelos de consistência. Esta metodologia serve ainda como uma ferramenta auxiliar no desenvolvimento de um serviço distribuído, permitindo verificar se este oferece o modelo de consistência esperado.
Книги з теми "GEC Models"
G, Marsh J., and Goddard Space Flight Center, eds. The GEM-T2 gravitational model. Greenbelt, MD: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.
Знайти повний текст джерелаG, Marsh J., and Goddard Space Flight Center, eds. The GEM-T2 gravitational model. Greenbelt, MD: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.
Знайти повний текст джерелаG, Marsh J., and Goddard Space Flight Center, eds. The GEM-T2 gravitational model. Greenbelt, MD: National Aeronautics and Space Administration, Goddard Space Flight Center, 1989.
Знайти повний текст джерелаBayoumi, Tamim, Hamid Faruqee, Douglas Laxton, Philippe Karam, Alessandro Rebucci, Jaewoo Lee, Ben Hunt, and Ivan Tchakarov. GEM: A New International Macroeconomic Model. Washington, D.C.: International Monetary Fund, 2004. http://dx.doi.org/10.5089/9781589063754.084.
Повний текст джерелаAwo, Nwata Rie. Ule Asusu igbo (Wasc/Gce): (Model Past questions Wasc/Gce). Onitsha: Jet Publishers (Nig.) Ltd., 1985.
Знайти повний текст джерелаModel-driven design of geo-information services. Enschede, The Netherlands: ITC, 2004.
Знайти повний текст джерелаUnited States. Environmental Protection Agency. Office of Transportation and Air Quality. Assessment and Standards Division. Greenhouse gas emissions model (GEM) user guide. [Washington, D.C.]: Assessment and Standards Division, Office of Transportation and Air Quality, U.S. Environmental Protection Agency, 2011.
Знайти повний текст джерелаGeneral Motors Corportation. Truck Division. and General Motors Corporation. Chevrolet Motor Division., eds. Do it yourself service manual: C/K models. [Pontiac, Mich: GMC Truck Division, Truck & Bus Group, General Motors Corp., 1988.
Знайти повний текст джерелаHaddon, Margaret Ruth. Gel permeation chromatography standards and model polyethylene compounds. Birmingham: University of Birmingham, 1989.
Знайти повний текст джерелаOpen networked "i-learning": Models and cases of "next-gen" learning. New York: Springer, 2010.
Знайти повний текст джерелаЧастини книг з теми "GEC Models"
Najafzadeh, Mahsa, and Suresh Jagannathan. "Geo-Replication Models." In Encyclopedia of Big Data Technologies, 1–7. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63962-8_186-1.
Повний текст джерелаNajafzadeh, Mahsa, and Suresh Jagannathan. "Geo-replication Models." In Encyclopedia of Big Data Technologies, 783–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77525-8_186.
Повний текст джерелаZhang, Yue, and James B. D. Joshi. "GEO-RBAC Model." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_1509-2.
Повний текст джерелаZhang, Yue, and James B. D. Joshi. "GEO-RBAC Model." In Encyclopedia of Database Systems, 1244–45. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1509.
Повний текст джерелаZhang, Yue, and James B. D. Joshi. "GEO-RBAC Model." In Encyclopedia of Database Systems, 1614–16. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1509.
Повний текст джерелаPark, H., Y. R. Oh, J. W. Lee, and G. Chung. "Snow Damage Prediction Model Using Socioeconomic Factors." In GCEC 2017, 1067–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8016-6_75.
Повний текст джерелаHuang, Yu, Zili Dai, and Weijie Zhang. "SPH Models for Geo-disasters." In Geo-disaster Modeling and Analysis: An SPH-based Approach, 23–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44211-1_2.
Повний текст джерелаBarron, Eric J. "Pre-Pleistocene Climates: Data and Models." In Climate and Geo-Sciences, 3–19. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2446-8_1.
Повний текст джерелаGhil, M. "Deceptively-Simple Models of Climatic Change." In Climate and Geo-Sciences, 211–40. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2446-8_11.
Повний текст джерелаChunko, Kongphon, and Vacharapoom Benjaoran. "Implementation of Construction Safety Knowledge Management via Building Information Model." In GCEC 2017, 431–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8016-6_35.
Повний текст джерелаТези доповідей конференцій з теми "GEC Models"
Gonenc, Abdurrahman, Emrullah Acar, Idris Demir, and Musa Yilmaz. "Artificial Intelligence Based Regression Models for Prediction of Smart Grid Stability." In 2022 Global Energy Conference (GEC). IEEE, 2022. http://dx.doi.org/10.1109/gec55014.2022.9986814.
Повний текст джерела"MATCHING TWO-DIMENSIONAL GEL ELECTROPHORESIS’ SPOTS." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003702401110117.
Повний текст джерелаKang, Fei, Siyuan Wu, and Junjie Li. "Rockfill Dam Constitutive Models’ Calibration Using Gaussian Process Regression-Response Surface Model with Jaya Optimizer." In Geo-Risk 2023. Reston, VA: American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484982.025.
Повний текст джерелаYang, Xibei, Xinzhe Li, and Tsau Young Lin. "First GrC model - Neighborhood Systems the most general rough set models." In 2009 IEEE International Conference on Granular Computing (GRC). IEEE, 2009. http://dx.doi.org/10.1109/grc.2009.5255031.
Повний текст джерелаAlmikati, Abdurrahman, Shadi Najjar, and Salah Sadek. "Assessment of Model Uncertainty for Settlement-Prediction Models of Spread Footings on Clays Reinforced with Aggregate Piers." In Geo-Risk 2023. Reston, VA: American Society of Civil Engineers, 2023. http://dx.doi.org/10.1061/9780784484999.034.
Повний текст джерелаSklyarov, Valery, Iouliia Skliarova, Dmitri Mihhailov, and Alexander Sudnitson. "Multilevel models for data processing." In 2011 IEEE GCC Conference and Exhibition (GCC). IEEE, 2011. http://dx.doi.org/10.1109/ieeegcc.2011.5752494.
Повний текст джерелаCameron, Matthew D., Mohammed Faizal, and Abdelmalek Bouazza. "Soil Temperature and Moisture Variation for the Different Operating Modes of a Model Energy Pile." In Geo-Chicago 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784480168.074.
Повний текст джерелаDubrule, Olivier, and Igor Escobar and Danila Kuznetsov. "Multi-disciplinary inversion of Earth models." In GEO 2008. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609-pdb.246.121.
Повний текст джерелаKurashima, Takeshi, Tomoharu Iwata, Takahide Hoshide, Noriko Takaya, and Ko Fujimura. "Geo topic model." In the sixth ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2433396.2433444.
Повний текст джерела"A NOVEL GAUSSIAN FITTING APPROACH FOR 2D GEL ELECTROPHORESIS SATURATED PROTEIN SPOTS." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003789803350338.
Повний текст джерелаЗвіти організацій з теми "GEC Models"
Narayanan, Badri, Thomas Hertel, and Mark Horridge. Linking Partial and General Equilibrium Models: A GTAP Application Using TASTE. GTAP Technical Paper, February 2010. http://dx.doi.org/10.21642/gtap.tp29.
Повний текст джерелаNarayanan, Badri, Thomas Hertel, and Mark Horridge. Disaggregated Data and Trade Policy Analysis: The Value of Linking Partial and General Equilibrium Models. GTAP Working Paper, July 2009. http://dx.doi.org/10.21642/gtap.wp56.
Повний текст джерелаCook, Samantha, Matthew Bigl, Sandra LeGrand, Nicholas Webb, Gayle Tyree, and Ronald Treminio. Landform identification in the Chihuahuan Desert for dust source characterization applications : developing a landform reference data set. Engineer Research and Development Center (U.S.), October 2022. http://dx.doi.org/10.21079/11681/45644.
Повний текст джерелаTschirhart, V., S. Pehrsson, N. Wodicka, J. A. Percival, C. W. Jefferson, T. Peterson, and R G Berman. Geophysical contributions to a synthesis of western Churchill geology and metallogeny. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330639.
Повний текст джерелаKerr, D. E., A. Plouffe, J E Campbell, and I. McMartin. Status of surficial geology mapping in northern Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331420.
Повний текст джерелаLavoie, D., N. Pinet, S. Zhang, J. Reyes, C. Jiang, O. H. Ardakani, M. M. Savard, et al. Hudson Bay, Hudson Strait, Moose River, and Foxe basins: synthesis of Geo-mapping for Energy and Minerals program activities from 2008 to 2018. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/326090.
Повний текст джерелаBoesten, J. J. T. I., M. C. Braakhekke, E. L. Wipfler, E. A. van Os, and M. J. J. Hoogsteen. GEM 4 model for soilless cultures: model description and parameterisation. Wageningen: Wageningen Environmental Research, 2020. http://dx.doi.org/10.18174/536706.
Повний текст джерелаKoo, Bonsoo, and Oliver Linton. Let's get LADE: robust estimation of semiparametric multiplicative volatility models. Institute for Fiscal Studies, March 2013. http://dx.doi.org/10.1920/wp.cem.2013.1113.
Повний текст джерелаMcClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, and R. J. McNeil. Overview of GEM surficial geochemistry and indicator mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330473.
Повний текст джерелаMcClenaghan, M. B., W. A. Spirito, S. J. A. Day, M. W. McCurdy, R. J. McNeil, and S. W. Adcock. Overview of Geo-mapping for Energy and Minerals program surficial geochemistry and indicator-mineral surveys and case studies in northern Canada. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331421.
Повний текст джерела