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Статті в журналах з теми "LDA MODEL"
Pang, Xiongwen, Benshuai Wan, Huifang Li, and Weiwei Lin. "MR-LDA." International Journal of Grid and High Performance Computing 8, no. 4 (October 2016): 100–113. http://dx.doi.org/10.4018/ijghpc.2016100106.
Повний текст джерелаAslanyan, Tatev Karen, and Flavius Frasincar. "LDA-LFM." ACM SIGAPP Applied Computing Review 21, no. 2 (June 2021): 33–47. http://dx.doi.org/10.1145/3477127.3477130.
Повний текст джерелаZhang, Yongjun, Zijian Wang, Yongtao Yu, Bolun Chen, Jialin Ma, and Liang Shi. "LF-LDA." International Journal of Data Warehousing and Mining 14, no. 2 (April 2018): 18–36. http://dx.doi.org/10.4018/ijdwm.2018040102.
Повний текст джерелаEkinci, Ekin, and Sevinç İlhan Omurca. "Concept-LDA: Incorporating Babelfy into LDA for aspect extraction." Journal of Information Science 46, no. 3 (April 29, 2019): 406–18. http://dx.doi.org/10.1177/0165551519845854.
Повний текст джерелаSHI, Jing, Ming HU, Xin SHI, and Guo-Zhong DAI. "Text Segmentation Based on Model LDA." Chinese Journal of Computers 31, no. 10 (October 16, 2009): 1865–73. http://dx.doi.org/10.3724/sp.j.1016.2008.01865.
Повний текст джерелаPeng, Qing Xi. "Classifying Sentiment Based on LDA Model." Applied Mechanics and Materials 427-429 (September 2013): 2614–17. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2614.
Повний текст джерелаSHI, Jing, Meng FAN, and Wan-Long LI. "Topic Analysis Based on LDA Model." Acta Automatica Sinica 35, no. 12 (March 12, 2010): 1586–92. http://dx.doi.org/10.3724/sp.j.1004.2009.01586.
Повний текст джерелаCho, Taemin, and Jee-Hyong Lee. "Latent Keyphrase Extraction Using LDA Model." Journal of Korean Institute of Intelligent Systems 25, no. 2 (April 25, 2015): 180–85. http://dx.doi.org/10.5391/jkiis.2015.25.2.180.
Повний текст джерелаZHAI, LIDONG, ZHAOYUN DING, YAN JIA, and BIN ZHOU. "A WORD POSITION-RELATED LDA MODEL." International Journal of Pattern Recognition and Artificial Intelligence 25, no. 06 (September 2011): 909–25. http://dx.doi.org/10.1142/s0218001411008890.
Повний текст джерелаZhou, Xiuze, and Shunxiang Wu. "Rating LDA model for collaborative filtering." Knowledge-Based Systems 110 (October 2016): 135–43. http://dx.doi.org/10.1016/j.knosys.2016.07.020.
Повний текст джерелаДисертації з теми "LDA MODEL"
Pereira, Alexandre Miguel Martins. "Relatório de estágio na Ameise Editora LDA." Master's thesis, Universidade de Aveiro, 2015. http://hdl.handle.net/10773/15784.
Повний текст джерелаO presente relatório propõe-se a expor todo o meu trabalho desenvolvido durante o período do estágio curricular na Ameise Editora desde agosto de 2014 até fevereiro de 2015. No mesmo encontra-se uma breve história da editora, um enquadramento do trabalho que desenvolvi e como este se relacionou com as unidades curriculares.
This report intends to expose all my work during the traineeship period in Ameise Editora from August 2014 until February 2015. In this same report you will able to read the brief history of Ameise Editora, the framework of the work I have done and how this was related to the master’s subjects.
Shamsolahi, S. "LDA investigation of flow in a stable mixed-flow pump model." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382495.
Повний текст джерелаHarrysson, Mattias. "Neural probabilistic topic modeling of short and messy text." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189532.
Повний текст джерелаAtt utforska enorma mängder användargenererad data med ämnen postulerar ett nytt sätt att hitta användbar information. Ämnena antas vara “gömda” och måste “avtäckas” med statistiska metoder såsom ämnesmodellering. Dock är användargenererad data generellt sätt kort och stökig t.ex. informella chattkonversationer, mycket slangord och “brus” som kan vara URL:er eller andra former av pseudo-text. Denna typ av data är svår att bearbeta för de flesta algoritmer i naturligt språk, inklusive ämnesmodellering. Det här arbetet har försökt hitta den metod som objektivt ger dem bättre ämnena ur kort och stökig text i en jämförande studie. De metoder som jämfördes var latent Dirichlet allocation (LDA), Re-organized LDA (RO-LDA), Gaussian Mixture Model (GMM) with distributed representation of words samt en egen metod med namnet Neural Probabilistic Topic Modeling (NPTM) baserat på tidigare arbeten. Den slutsats som kan dras är att NPTM har en tendens att ge bättre ämnen på kort och stökig text jämfört med LDA och RO-LDA. GMM lyckades inte ge några meningsfulla resultat alls. Resultaten är mindre bevisande eftersom NPTM har problem med långa körtider vilket innebär att tillräckligt många stickprov inte kunde erhållas för ett statistiskt test.
Schreiber, Jonah. "Tracking Online Trend Locations using a Geo-Aware Topic Model." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190887.
Повний текст джерелаCarreira, Filipa Contreiras Duarte. "Análise e otimização da gestão de stocks: caso de estudo de uma estação de serviço da Repsol Portuguesa Lda." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/23348.
Повний текст джерелаNum mercado competitivo como o atual, as empresas são forçadas a estabelecer métodos mais eficazes para gerirem os seus stocks uma vez que a gestão dos mesmos é um dos processos mais importantes para o sucesso das organizações. Uma das mais valias deste processo é a diminuição do nível de stock que por sua vez tem um impacto positivo no desempenho organizacional e na redução dos custos totais das empresas. O objetivo deste estudo é analisar e otimizar a gestão de stocks de uma Estação de Serviço da Repsol Portuguesa de forma a minimizar os seus custos anuais de stock. A Repsol é uma empresa multienergética internacional nascida em Espanha e com presença notória em Portugal desde 1990. Este relatório de dissertação pretende ser uma contribuição prática para encontrar o equilíbrio entre a compra e a procura dos produtos vendidos numa Estação de Serviço da Repsol Portuguesa e permitir, deste modo, uma melhor tomada de decisão. Neste estudo serão analisados os modelos de controlo e classificação de stocks e posteriormente aplicado o modelo da Quantidade Económica de Encomenda (QEE). O modelo da QEE define qual a quantidade ótima de encomenda, de forma a minimizar os custos associados ao stock. No final do estudo, é alcançada uma otimização da gestão de stocks, ou seja, existe a possibilidade de redução do custo total do stock em 39,69% com base nos modelos académicos aplicados.
In a competitive market as the current one, companies are forced to establish more efficient methods to manage their stocks, since stock management is one of the most important processes for the success of organizations. One of the advantages of this process is the reduction in the stock level which in turn has a positive impact on organizational performance and on the reduction of the companies’ total cost. The purpose of this study is to analyze and optimize the stock management of a Repsol Portuguesa Gas Station to minimize its annual stock costs. Repsol is an international multi-energy company born in Spain with a notable presence in Portugal since 1990. This dissertation report aims to be a practical contribution by finding the balance between the purchase and the demand for the products sold at one Repsol Portuguesa Gas Station thus allowing better decision making. In this study the stock control and classification models will be analyzed and then the Economic Order Quantity (QEE) model will be applied. The QEE model defines the optimal order quantity that should be ordered to minimize the costs associated with stock. At the end of the study, an optimization of stock management is achieved, meaning that there is a possibility of reducing the stock total cost by 39,69% based on the applied academic models.
info:eu-repo/semantics/publishedVersion
Saberi, Nasseri Robin. "Stochastic EM for generic topic modeling using probabilistic programming." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447568.
Повний текст джерелаRosner, Helge. "Electronic structure and exchange integrals of low-dimensional cuprates." [S.l. : s.n.], 1999. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB9470690.
Повний текст джерелаLindgren, Jennifer. "Evaluating Hierarchical LDA Topic Models for Article Categorization." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080.
Повний текст джерелаSvensson, Karin, and Johan Blad. "Exploring NMF and LDA Topic Models of Swedish News Articles." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-429250.
Повний текст джерелаRachman, Luciano. "Modelagem de perdas com ações trabalhistas em instituições financeiras." reponame:Repositório Institucional do FGV, 2013. http://hdl.handle.net/10438/11096.
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As perdas trabalhistas nas Instituições Financeiras representam um valor considerável que devem ser consideradas no modelo de capital regulatório para risco operacional, segundo Basileia. A presente dissertação demonstra uma forma de mensurar o risco às quais as Instituições Financeiras estão expostas nesse tipo de perdas. Diversos tipos de distribuições são analisados conforme sua aderência tanto na frequência como na severidade das perdas. Para os valores de frequência, foi obtida uma amostra de dados real, enquanto para a severidade foram utilizados valores obtidos de relatórios de instituto de pesquisa que serviram de insumo para os cálculos de ações trabalhistas conforme legislação brasileira vigente na CLT (Consolidação das Leis do Trabalho).
According to Basel, the labor losses in Financial Institutions represent a substantial value that should be regarded in the model of regulatory capital for operational risk. This dissertation demonstrates a way to measure the risk to which Financial Institutions are exposed to in this type of loss. Several types of distributions are analyzed according to their adherence both in frequency and severity of losses. For frequency values, it was obtained a sample of actual data, whilst for the severity were used values given from reports of research institute which served as an input for the calculations of labor actions according to the present Brazilian legislation in CLT (Consolidation of Labor Laws).
Книги з теми "LDA MODEL"
United States. National Aeronautics and Space Administration., ed. LDV measurements in an annular combustor model. West Lafayette, Ind: Purdue University, School of Aeronautics and Astronautics, 1989.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. LDV measurements in an annular combustor model. [Washington, DC]: National Aeronautics and Space Administration, 1996.
Знайти повний текст джерела1954-, Milkman Ruth, Bloom Joshua, and Narro Victor 1963-, eds. Working for justice: The L.A. model of organizing and advocacy. Ithaca: Cornell University Press, 2010.
Знайти повний текст джерелаCanlas, Dante B. Labor force participation in an LDC. [Diliman, Quezon City, Philippines]: University of the Philippines, School of Economics, 1990.
Знайти повний текст джерелаSelvanathan, E. Antony. International consumption comparisons: OECD versus LDC. Singapore: World Scientific, 2002.
Знайти повний текст джерелаSaroja, Selvanathan, ed. International consumption comparisons: OECD versus LDC. Singapore: World Scientific, 2003.
Знайти повний текст джерелаEsguerra, E. F. Trader-lenders in the rural LDC credit market. [Quezon City]: University of the Philippines, School of Economics, 1990.
Знайти повний текст джерелаCohen, Daniel. A valuation formula for LDC debt. Washington, DC (1818 H St., NW, Washington 20433): International Economics Dept., World Bank, 1991.
Знайти повний текст джерелаDicks, M. J. Secondary market prices of LDC debt. London: Economics Division, Bank of England, 1991.
Знайти повний текст джерелаTop-model. Montréal: SMBi, 1997.
Знайти повний текст джерелаЧастини книг з теми "LDA MODEL"
Drissi, Amani, Ahmed Khemiri, Salma Sassi, Anis Tissaoui, Richard Chbeir, and Abderrazek Jemai. "LDA+: An Extended LDA Model for Topic Hierarchy and Discovery." In Recent Challenges in Intelligent Information and Database Systems, 14–26. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8234-7_2.
Повний текст джерелаLehečka, Jan, and Aleš Pražák. "Online LDA-Based Language Model Adaptation." In Text, Speech, and Dialogue, 334–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00794-2_36.
Повний текст джерелаGai, Fangyu, Zhiqiang Li, Xinwen Jiang, and Hongchen Guo. "Enhance AdaBoost Algorithm by Integrating LDA Topic Model." In Data Mining and Big Data, 27–37. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_3.
Повний текст джерелаAi, Zhou, Zhang Yijia, Wei Hao, and Lu Mingyu. "LDA-Transformer Model in Chinese Poetry Authorship Attribution." In Lecture Notes in Computer Science, 59–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88189-4_5.
Повний текст джерелаXiao, Yunpeng, Liangyun Liu, Ming Xu, Haohan Wang, and Yanbing Liu. "GLDA-FP: Gaussian LDA Model for Forward Prediction." In Big Data – BigData 2018, 124–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94301-5_10.
Повний текст джерелаSun, Muzhen, and Haonan Zheng. "Topic Detection for Post Bar Based on LDA Model." In Communications in Computer and Information Science, 136–49. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2206-8_13.
Повний текст джерелаXiong, Caiquan, Li Shen, and Zhuang Wang. "An Automatic Text Summary Method Based on LDA Model." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 163–73. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33509-0_15.
Повний текст джерелаZhang, Yongjun, Jialin Ma, Zijian Wang, and Bolun Chen. "LF-LDA: A Topic Model for Multi-label Classification." In Advances in Internetworking, Data & Web Technologies, 618–28. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59463-7_62.
Повний текст джерелаLi, Zhisheng, Chong Wang, Xing Xie, Xufa Wang, and Wei-Ying Ma. "Exploring LDA-Based Document Model for Geographic Information Retrieval." In Lecture Notes in Computer Science, 842–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85760-0_108.
Повний текст джерелаHe, Min-fan. "A Stock Recommendation Strategy Based on M-LDA Model." In Web Technologies and Applications, 122–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45835-9_11.
Повний текст джерелаТези доповідей конференцій з теми "LDA MODEL"
Shi, Min, Jianxun Liu, Dong Zhou, Mingdong Tang, and Buqing Cao. "WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering." In 2017 IEEE International Conference on Web Services (ICWS). IEEE, 2017. http://dx.doi.org/10.1109/icws.2017.9.
Повний текст джерелаJianyong Duan, Yamin Ai, and Xia li. "LDA topic model for microblog recommendation." In 2015 International Conference on Asian Language Processing (IALP). IEEE, 2015. http://dx.doi.org/10.1109/ialp.2015.7451562.
Повний текст джерелаSun, Yan. "The collocation model based on LDA." In Sixth International Conference on Electronics and Information Engineering, edited by Qiang Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2202328.
Повний текст джерелаYang, Qingquan, and Weijiang Li. "The LDA Topic Model Extension Study." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/lemcs-15.2015.169.
Повний текст джерелаZhao, Fangyuan, Xuebin Ren, Shusen Yang, and Xinyu Yang. "On Privacy Protection of Latent Dirichlet Allocation Model Training." 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.2019/675.
Повний текст джерелаZhang, Maoyuan, Fang Yuan, and Jianping Zhu. "Integrating semantic knowledge into Tag-LDA model through cloud model." In 2015 IEEE International Conference on Big Data (Big Data). IEEE, 2015. http://dx.doi.org/10.1109/bigdata.2015.7364118.
Повний текст джерелаChen, Xue, Wenqing Tang, Hao Xu, and Xiaofeng Hu. "Double LDA: A Sentiment Analysis Model Based on Topic Model." In 2014 Tenth International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2014. http://dx.doi.org/10.1109/skg.2014.20.
Повний текст джерелаXie, Lingyun, Ying Shi, and Zhenwei Li. "Driving Pattern Recognition Based on Improved LDA Model." In 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS). IEEE, 2018. http://dx.doi.org/10.1109/ccis.2018.8691348.
Повний текст джерелаBinkley, David, and Daniel Heinz. "Entropy as a lens into LDA model understanding." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252216.
Повний текст джерелаKasliwal, Bhavesh, Shraey Bhatia, Shubham Saini, I. Sumaiya Thaseen, and Ch Aswani Kumar. "A hybrid anomaly detection model using G-LDA." In 2014 IEEE International Advance Computing Conference (IACC). IEEE, 2014. http://dx.doi.org/10.1109/iadcc.2014.6779336.
Повний текст джерелаЗвіти організацій з теми "LDA MODEL"
Moreno Pérez, Carlos, and Marco Minozzo. “Making Text Talk”: The Minutes of the Central Bank of Brazil and the Real Economy. Madrid: Banco de España, November 2022. http://dx.doi.org/10.53479/23646.
Повний текст джерелаAsati, R., X. Liu, S. Esale, X. Chen, and H. Shah. YANG Data Model for MPLS LDP. Edited by K. Raza. RFC Editor, March 2022. http://dx.doi.org/10.17487/rfc9070.
Повний текст джерелаCusanelli, Dominic S., and Scott A. Carpenter. Axial Waterjet (AxWJ) Model 5662: Hull Resistance and Model-Scale Powering with LDV Nozzle Design. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada473572.
Повний текст джерелаSkone, Timothy J. Natural Gas and Power LCA Model Documentation (NG Report). Office of Scientific and Technical Information (OSTI), May 2014. http://dx.doi.org/10.2172/1526721.
Повний текст джерелаZeilenga, K., ed. Lightweight Directory Access Protocol (LDAP): Directory Information Models. RFC Editor, June 2006. http://dx.doi.org/10.17487/rfc4512.
Повний текст джерелаChernozhukov, Victor, Kengo Kato, and Alexandre Belloni. Uniform post selection inference for LAD regression models. Cemmap, June 2013. http://dx.doi.org/10.1920/wp.cem.2013.2413.
Повний текст джерелаAvendaño A, Marilu, Julio Cesar Montoya R, and Martha Lucía Fuertes D. Mejoramiento de la gestión gerencial de la empresa Transportes Unidos de Colombia-Transucol Ltda de Palmira, mediante la implantación del modelo Balance Scoreboard (Cuadro de Mando Integral). Universidad Nacional Abierta y a Distancia, 2016. http://dx.doi.org/10.22490/ecacen.1907.
Повний текст джерелаHadgu, Teklu, Gordon Appel, Timothy Kotoski, and Chad Wilkes. FY19 Status Report on the Computing Systems for the Yucca Mountain Project TSPA-LA Models and Preliminary Testing of a Selected Process Model. Office of Scientific and Technical Information (OSTI), February 2020. http://dx.doi.org/10.2172/1763267.
Повний текст джерелаMéndez-Vizcaíno, Juan C., Alexander Guarín, César Anzola-Bravo, and Anderson Grajales-Olarte. Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Density Approach for Colombia. Banco de la República, October 2021. http://dx.doi.org/10.32468/be.1178.
Повний текст джерелаBaltagi, Badi H., Georges Bresson, Anoop Chaturvedi та Guy Lacroix. Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change. CIRANO, січень 2023. http://dx.doi.org/10.54932/ufyn4045.
Повний текст джерела