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Статті в журналах з теми "Topic model methods"
BOYKO, N., and O. PETROVSKYI. "METHODS OF CLASSIFICATION OF MACHINE LEARNING FOR CONSTRUCTION OF MATHEMATICAL MODELS ON MULTIMODAL DATA." Herald of Khmelnytskyi National University. Technical sciences 307, no. 2 (May 2, 2022): 25–32. http://dx.doi.org/10.31891/2307-5732-2022-307-2-25-32.
Повний текст джерелаJankowski, Maciej. "Ensemble Methods for Improving Classification of Data Produced by Latent Dirichlet Allocation." Computer Science and Mathematical Modelling, no. 8/2018 (March 25, 2019): 17–28. http://dx.doi.org/10.5604/01.3001.0013.1458.
Повний текст джерелаXie, Qianqian, Yutao Zhu, Jimin Huang, Pan Du, and Jian-Yun Nie. "Graph Neural Collaborative Topic Model for Citation Recommendation." ACM Transactions on Information Systems 40, no. 3 (July 31, 2022): 1–30. http://dx.doi.org/10.1145/3473973.
Повний текст джерелаGou, Zhinan, Yan Li, and Zheng Huo. "A Method for Constructing Supervised Time Topic Model Based on Variational Autoencoder." Scientific Programming 2021 (February 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/6623689.
Повний текст джерелаZhu, Lixing, Yulan He, and Deyu Zhou. "A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings." Transactions of the Association for Computational Linguistics 8 (August 2020): 471–85. http://dx.doi.org/10.1162/tacl_a_00326.
Повний текст джерелаMylläri, Sanna, Suoma Eeva Saarni, Ville Ritola, Grigori Joffe, Jan-Henry Stenberg, Ole André Solbakken, Nikolai Olavi Czajkowski, and Tom Rosenström. "Text Topics and Treatment Response in Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder: Text Mining Study." Journal of Medical Internet Research 24, no. 11 (November 9, 2022): e38911. http://dx.doi.org/10.2196/38911.
Повний текст джерелаShi, Lei, Junping Du, and Feifei Kou. "A Sparse Topic Model for Bursty Topic Discovery in Social Networks." International Arab Journal of Information Technology 17, no. 5 (September 1, 2020): 816–24. http://dx.doi.org/10.34028/iajit/17/5/15.
Повний текст джерелаMeaney, Christopher, Michael Escobar, Therese A. Stukel, Peter C. Austin, and Liisa Jaakkimainen. "Comparison of Methods for Estimating Temporal Topic Models From Primary Care Clinical Text Data: Retrospective Closed Cohort Study." JMIR Medical Informatics 10, no. 12 (December 19, 2022): e40102. http://dx.doi.org/10.2196/40102.
Повний текст джерелаHong-Hui, LI, Zhao Ai-Hua, and Zhang Jun-Wen. "Research of Software Reliability Test Based on Test Model." International Journal of Open Source Software and Processes 8, no. 3 (July 2017): 49–64. http://dx.doi.org/10.4018/ijossp.2017070103.
Повний текст джерелаPark, Sang-Min, Sung Joon Lee, and Byung-Won On. "Topic Word Embedding-Based Methods for Automatically Extracting Main Aspects from Product Reviews." Applied Sciences 10, no. 11 (May 31, 2020): 3831. http://dx.doi.org/10.3390/app10113831.
Повний текст джерелаДисертації з теми "Topic model methods"
王詠媚 and Wing-mei Wong. "Some topics in model selection in financial time series analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31225366.
Повний текст джерелаForster, Jeri E. "Varying-coefficient models for longitudinal data : piecewise-continuous, flexible, mixed-effects models and methods for analyzing data with nonignorable dropout /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2006.
Знайти повний текст джерелаTypescript. Includes bibliographical references (leaves 72-75). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
McCarthy, Shane A. "Topics in nonlinear self-dual supersymmetric theories." University of Western Australia. School of Physics, 2006. http://theses.library.uwa.edu.au/adt-WU2006.0045.
Повний текст джерелаSyrén, Ludvig. "A method for introducing flexibility in rigid multibodies from reduced order elastic models." Thesis, Umeå universitet, Institutionen för fysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160417.
Повний текст джерелаWagner, Brandie D. "Permutation based microarray gene selection methods with covarience adjustment applicable to complex diseases /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Знайти повний текст джерелаTypescript. Includes bibliographical references (leaves 57-60). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
Cohen, Margaret A. "Estimating the growth rate of harmful algal blooms using a model averaged method." View electronic thesis (PDF), 2009. http://dl.uncw.edu/etd/2009-1/rp/cohenm/margaretcohen.pdf.
Повний текст джерелаKronberg, Simon. "Morphology Formation from Ternary Mixtures upon Evaporation : a Square Cell Model Approach." Thesis, Karlstads universitet, Institutionen för ingenjörsvetenskap och fysik (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72624.
Повний текст джерелаVi presenterar en ny modellansats för morfologiformation från trekomponentsblandningar under avdunstning, som tar hänsyn till två olika längdskalor hos interaktionen, samt möjliggör förändring av dessa längdskalor. En kvantitativ studie av energin vid domängränserna tyder på att det finns en mesoskopisk regim - ytterligare forskning är dock nödvändig för att verifiera giltigheten av detta påstående. Vi visar också att lösningsmedlet ursprungligen följer en Fickiansk diffusionslag, för att senare avvika från detta beteende, förmodligen på grund av de tydliga domänerna som produceras av de två återstående (aktiva) komponenterna. Vi försöker också minska klyftan mellan det här arbetet och en hypotetisk tredimensionell modell genom att behandla systemet uppifrån. Här observerar vi domäntillväxt dominerad av 'Ostwald ripening', med viss koalescens. Domäntillväxten karakteriserades vidare med hjälp av Fourier-bildanalys.
Podosinnikova, Anastasia. "Sur la méthode des moments pour l'estimation des modèles à variables latentes." Thesis, Paris Sciences et Lettres (ComUE), 2016. http://www.theses.fr/2016PSLEE050/document.
Повний текст джерелаLatent linear models are powerful probabilistic tools for extracting useful latent structure from otherwise unstructured data and have proved useful in numerous applications such as natural language processing and computer vision. However, the estimation and inference are often intractable for many latent linear models and one has to make use of approximate methods often with no recovery guarantees. An alternative approach, which has been popular lately, are methods based on the method of moments. These methods often have guarantees of exact recovery in the idealized setting of an infinite data sample and well specified models, but they also often come with theoretical guarantees in cases where this is not exactly satisfied. In this thesis, we focus on moment matchingbased estimation methods for different latent linear models. Using a close connection with independent component analysis, which is a well studied tool from the signal processing literature, we introduce several semiparametric models in the topic modeling context and for multi-view models and develop moment matching-based methods for the estimation in these models. These methods come with improved sample complexity results compared to the previously proposed methods. The models are supplemented with the identifiability guarantees, which is a necessary property to ensure their interpretability. This is opposed to some other widely used models, which are unidentifiable
Kim, Kwangmoo. "Topics in the theory of inhomogeneous media composite superconductors and dielectrics /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180537980.
Повний текст джерелаDas, Manirupa. "Neural Methods Towards Concept Discovery from Text via Knowledge Transfer." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274.
Повний текст джерелаКниги з теми "Topic model methods"
Practical patient literacy: The medagogy model. New York: McGraw-Hill Medical, 2012.
Знайти повний текст джерелаAntonella, Macagnano, ed. Advanced topics in cell model systems. Hauppauge, NY: Nova Science Publishers, 2009.
Знайти повний текст джерелаMyopia: Animal models to clinical trials. New Jersey: World Scientific, 2010.
Знайти повний текст джерелаEvaluation in nursing staff development: Methods and models. Rockville, Md: Aspen Systems Corp., 1985.
Знайти повний текст джерелаMark, Chang, ed. Adaptive design methods in clinical trials. 2nd ed. Boca Raton: Taylor & Francis, 2012.
Знайти повний текст джерелаMaffett, Andrew Lewis. Topics for a statistical description of radar cross section. New York: Wiley, 1989.
Знайти повний текст джерелаPalmer, Adele R. Existing chemicals regulation under the Toxic Substances Control Act: Models and methods for policy evaluation. Santa Monica, CA (P.O. Box 2138, Santa Monica 90406-2138): Rand, 1985.
Знайти повний текст джерелаStatistical methods in drug combination studies. Boca Raton: CRC Press, Taylor & Francis Group, 2015.
Знайти повний текст джерелаJulious, Steven A. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.
Знайти повний текст джерелаJulious, Steven A. An introduction to statistics in early phase trials. Chichester, West Sussex: John Wiley, 2010.
Знайти повний текст джерелаЧастини книг з теми "Topic model methods"
Isupova, Olga. "Proposed Learning Algorithms for Markov Clustering Topic Model." In Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video, 37–64. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75508-3_3.
Повний текст джерелаVilalta, Ricardo, and Mikhail M. Meskhi. "Transfer of Knowledge Across Tasks." In Metalearning, 219–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-67024-5_12.
Повний текст джерелаKoltai, Júlia, Zoltán Kmetty, and Károly Bozsonyi. "From Durkheim to Machine Learning: Finding the Relevant Sociological Content in Depression and Suicide-Related Social Media Discourses." In Pathways Between Social Science and Computational Social Science, 237–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54936-7_11.
Повний текст джерелаFelli, Paolo, Marco Montali, and Sarah Winkler. "CTL$$^*$$ Model Checking for Data-Aware Dynamic Systems with Arithmetic." In Automated Reasoning, 36–56. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10769-6_4.
Повний текст джерелаMeadows, Edward S., and James B. Rawlings. "Topics in Model Predictive Control." In Methods of Model Based Process Control, 331–47. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0135-6_13.
Повний текст джерелаPelz, Peter F., Robert Feldmann, Christopher M. Gehb, Peter Groche, Florian Hoppe, Maximilian Knoll, Jonathan Lenz, et al. "Our Specific Approach on Mastering Uncertainty." In Springer Tracts in Mechanical Engineering, 43–111. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78354-9_3.
Повний текст джерелаDanelutto, Marco, Denis Caromel, Duane Szafron, and Fernando Silva. "Topic 9 Parallel Programming: Models, Methods and Languages." In Euro-Par 2005 Parallel Processing, 685. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11549468_75.
Повний текст джерелаCunha, José C., Sergei Gorlatch, Daniel Quinlan, and Peter H. Welch. "Topic 9: Parallel Programming: Models, Methods and Languages." In Euro-Par 2006 Parallel Processing, 603. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11823285_62.
Повний текст джерелаIndukaev, Andrey. "Studying Ideational Change in Russian Politics with Topic Models and Word Embeddings." In The Palgrave Handbook of Digital Russia Studies, 443–64. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42855-6_25.
Повний текст джерелаDral, Pavlo O., Fuchun Ge, Bao Xin Xue, Yi-Fan Hou, Max Pinheiro, Jianxing Huang, and Mario Barbatti. "MLatom 2: An Integrative Platform for Atomistic Machine Learning." In Topics in Current Chemistry Collections, 13–53. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07658-9_2.
Повний текст джерелаТези доповідей конференцій з теми "Topic model methods"
Bhatia, Shraey, Jey Han Lau, and Timothy Baldwin. "Topic Intrusion for Automatic Topic Model Evaluation." In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/d18-1098.
Повний текст джерелаJin, Yuan, He Zhao, Ming Liu, Lan Du, and Wray Buntine. "Neural Attention-Aware Hierarchical Topic Model." In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.80.
Повний текст джерелаSasaki, Kentaro, Tomohiro Yoshikawa, and Takeshi Furuhashi. "Online topic model for Twitter considering dynamics of user interests and topic trends." In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/d14-1212.
Повний текст джерелаBianchi, Annamaria, Camilla Salvatore, and Silvia Biffignandi. "Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11646.
Повний текст джерелаSalvatore, Camilla, Alice Madonna, Annamaria Bianchi, Albachiara Boffelli, and Matteo Giacomo Maria Kalchschmidt. "Collaborate for what: a structural topic model analysis on CDP data." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. valencia: Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15074.
Повний текст джерелаGui, Lin, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, and Yulan He. "Neural Topic Model with Reinforcement Learning." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1350.
Повний текст джерелаNiu, Yue, and Hongjie Zhang. "A Self-Aggregated Hierarchical Topic Model for Short Texts." In 2nd International Conference on Machine Learning, IOT and Blockchain (MLIOB 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111212.
Повний текст джерелаZou, Bowei, Guodong Zhou, and Qiaoming Zhu. "Unsupervised Negation Focus Identification with Word-Topic Graph Model." In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/d15-1187.
Повний текст джерелаZhao, Yilang. "Exploring Redditors’ Topics with Natural Language Processing." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. valencia: Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15022.
Повний текст джерелаButt, Saad Masood, Azura Onn, Moaz Masood Butt, Nadra Tabassam Inam, and Shahid Masood Butt. "Incorporation of usability evaluation methods in agile software model." In 2014 IEEE 17th International Multi-Topic Conference (INMIC). IEEE, 2014. http://dx.doi.org/10.1109/inmic.2014.7097336.
Повний текст джерелаЗвіти організацій з теми "Topic model methods"
Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, October 2015. http://dx.doi.org/10.32747/2015.7594402.bard.
Повний текст джерелаMcKay, S., Nate Richards, and Todd Swannack. Ecological model development : evaluation of system quality. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45380.
Повний текст джерелаChornodon, Myroslava. FEAUTURES OF GENDER IN MODERN MASS MEDIA. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11064.
Повний текст джерелаMcKinnon, Mark, Daniel Madryzkowksi, and Craig Weinschenk. Development of a Database of Contemporary Material Properties for Fire Investigation Analysis - Materials and Methods. UL Firefighter Safety Research Institute, July 2020. http://dx.doi.org/10.54206/102376/zmpa6638.
Повний текст джерелаKozlovsky, Evgen O., та Hennadiy M. Kravtsov. Мультимедийная виртуальная лаборатория по физике в системе дистанционного обучения. [б. в.], серпень 2018. http://dx.doi.org/10.31812/0564/2455.
Повний текст джерелаStavland, Arne, Siv Marie Åsen, Arild Lohne, Olav Aursjø, and Aksel Hiorth. Recommended polymer workflow: Lab (cm and m scale). University of Stavanger, November 2021. http://dx.doi.org/10.31265/usps.201.
Повний текст джерелаChoudhary, Ruplal, Victor Rodov, Punit Kohli, Elena Poverenov, John Haddock, and Moshe Shemesh. Antimicrobial functionalized nanoparticles for enhancing food safety and quality. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7598156.bard.
Повний текст джерелаThompson, Joseph. How WASH Programming has Adapted to the COVID-19 Pandemic. Institute of Development Studies (IDS), December 2020. http://dx.doi.org/10.19088/slh.2021.001.
Повний текст джерелаThompson, Joseph. How WASH Programming has Adapted to the COVID-19 Pandemic. The Sanitation Learning Hub, Institute of Development Studies, December 2020. http://dx.doi.org/10.19088/slh.2021.0015.
Повний текст джерелаHulata, Gideon, Thomas D. Kocher, and Micha Ron. Elucidating the molecular pathway of sex determination in cultured Tilapias and use of genetic markers for creating monosex populations. United States Department of Agriculture, January 2007. http://dx.doi.org/10.32747/2007.7695855.bard.
Повний текст джерела