Добірка наукової літератури з теми "Author Topic Model"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Author Topic Model".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Author Topic Model"
Han, Peng, Ming Mei Chen, and Ying Nan Zhang. "A Hierarchical Bayesian Model for Text Corpora." Applied Mechanics and Materials 687-691 (November 2014): 1237–40. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1237.
Повний текст джерелаJin, Jian, Qian Geng, Haikun Mou, and Chong Chen. "Author–Subject–Topic model for reviewer recommendation." Journal of Information Science 45, no. 4 (October 19, 2018): 554–70. http://dx.doi.org/10.1177/0165551518806116.
Повний текст джерелаHoi, Huynh Tan. "FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 15, 2021): 948–53. http://dx.doi.org/10.17762/itii.v9i1.222.
Повний текст джерелаPhan, Truong Ho Viet, Thanh Trung Ho, and Phuc Do. "Topic based object Influence analysis in Social networks." Science and Technology Development Journal 16, no. 4 (December 31, 2013): 68–78. http://dx.doi.org/10.32508/stdj.v16i4.1586.
Повний текст джерелаSeroussi, Yanir, Ingrid Zukerman, and Fabian Bohnert. "Authorship Attribution with Topic Models." Computational Linguistics 40, no. 2 (June 2014): 269–310. http://dx.doi.org/10.1162/coli_a_00173.
Повний текст джерелаRifqi Nafis, Rizky Parlika, and Sugiarto. "MENGELOMPOKKAN TOPIK TWEET AKUN POLITISI DENGAN PEMODELAN TOPIK METODE AUTHOR-TOPIC MODELS." Jurnal Informatika dan Sistem Informasi 2, no. 1 (March 23, 2021): 99–105. http://dx.doi.org/10.33005/jifosi.v2i1.268.
Повний текст джерелаLiu, Sanya, Cheng Ni, Zhi Liu, Xian Peng, and Hercy N. H. Cheng. "Mining Individual Learning Topics in Course Reviews Based on Author Topic Model." International Journal of Distance Education Technologies 15, no. 3 (July 2017): 1–14. http://dx.doi.org/10.4018/ijdet.2017070101.
Повний текст джерелаKim, Jooyeon, Dongwoo Kim, and Alice Oh. "Joint Modeling of Topics, Citations, and Topical Authority in Academic Corpora." Transactions of the Association for Computational Linguistics 5 (December 2017): 191–204. http://dx.doi.org/10.1162/tacl_a_00055.
Повний текст джерелаRakhmawati, Nur Aini, N. F. Faiz, Irmasari Hafidz, Indra Raditya, Pande Dinatha, and Andrianto Suwignyo. "Clustering student Instagram accounts using author-topic model." International Journal of Business Intelligence and Data Mining 19, no. 1 (2021): 70. http://dx.doi.org/10.1504/ijbidm.2021.115954.
Повний текст джерелаMcCallum, A., X. Wang, and A. Corrada-Emmanuel. "Topic and Role Discovery in Social Networks with Experiments on Enron and Academic Email." Journal of Artificial Intelligence Research 30 (October 13, 2007): 249–72. http://dx.doi.org/10.1613/jair.2229.
Повний текст джерелаДисертації з теми "Author Topic Model"
KAVOOSIFAR, MOHAMMAD REZA. "Data Mining and Indexing Big Multimedia Data." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2742526.
Повний текст джерелаJuselius, Mikael. "A cointegration approach to topics in empirical macroeconomics /." Helsingfors : Svenska Handelshögskolan, 2007. http://www.gbv.de/dms/zbw/555519236.pdf.
Повний текст джерелаMouzouni, Charafeddine. "Topic in mean field games theory & applications in economics and quantitative finance." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSEC006.
Повний текст джерелаMean Field Game (MFG) systems describe equilibrium configurations in differential games with infinitely many infinitesimal interacting agents. This thesis is articulated around three different contributions to the theory of Mean Field Games. The main purpose is to explore the power of this theory as a modeling tool in various fields, and to propose original approaches to deal with the underlying mathematical questions. The first chapter presents the key concepts and ideas that we use throughout the thesis: we introduce the MFG problem, and we briefly explain the asymptotic link with N-Player differential games when N → ∞. Next we present our main results and contributions, that are explained more in details in the subsequent chapters. In Chapter 2, we explore a Mean Field Game model with myopic agents. In contrast to the classical MFG models, we consider less rational agents which do not anticipate the evolution of the environment, but only observe the current state of the system, undergo changes and take actions accordingly. We analyze the resulting system of coupled PDEs and provide a rigorous derivation of that system from N-Player stochastic differential games models. Next, we show that our population of agents can self-organize and converge exponentially fast to the well-known ergodic MFG equilibrium. Chapters 3 and 4 deal with a MFG model in which producers compete to sell an exhaustible resource such as oil, coal, natural gas, or minerals. In Chapter 3, we propose an alternative approach based on a variational method to formulate the MFG problem, and we explore the deterministic limit (without fluctuations of demand) in a regime where re- sources are renewable or abundant. In Chapter 4 we address the rigorous link between the Cournot MFG model and the N-Player Cournot competition when N is large. In Chapter 5, we introduce a MFG model for the optimal execution of a multi-asset portfolio. We start by formulating the MFG problem, then we compute the optimal execution strategy for a given investor knowing her/his initial inventory and we carry out several simulations. Next, we analyze the influence of the trading activity on the observed intra-day pattern of the covariance matrix of returns and we apply our results in an empirical analysis on a pool of 176 US stocks
Shen, Sheng-Yao, and 沈聖堯. "Improving Variational Auto-Encoder Based Neural Topic Model with Sparse Latent Concept Layer." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/jg7gu7.
Повний текст джерела國立臺灣大學
電機工程學研究所
105
In this thesis, the primary contribution is proposing a simple variational auto-encoder based topic model, and effective topic word selection criteria. By decomposing the probability matrix into the product of a topic matrix and a word matrix, we introduce sparse latent concepts (SLC) as the dimensionalities of the semantic space of the topic and word vectors, improve the model based on the idea that a topic is represented as few latent concepts, and select topic words by semantic similarity between topic and word vectors. In the experiments, SLC-based model outperforms the non-SLC-based model in terms of average topic coherence.
Книги з теми "Author Topic Model"
Brioni, Simone, and Shirin Ramzanali Fazel. Scrivere di Islam. Venice: Edizioni Ca' Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-411-0.
Повний текст джерелаBol'shunova, Sofiya, Ekaterina Voevodina, Vasiliy Dyagilev, Mihail Zelenkov, Dariya Kushnir, Aleksandr Ozerov, Aleksandra Proskurina, Yuliya Ten, Sergey Klyagin, and Aziza Yarasheva. Intercultural communication in the global world: modeling, efficiency, trust. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1895951.
Повний текст джерелаBalackiy, Evgeniy, Natal'ya Ekimova, Aleksandr Rudnev, and Aleksandr Gusev. New approaches to modeling economic development. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1862597.
Повний текст джерелаLei, Yuan. Mechanical Ventilation Modes. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198784975.003.0008.
Повний текст джерелаPratt, Michael W., and M. Kyle Matsuba. Peer and Romantic Relationships in Emerging Adulthood. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199934263.003.0008.
Повний текст джерелаChen, Ruey-Lin. Experimental Individuation. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190636814.003.0009.
Повний текст джерелаJockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.
Повний текст джерелаKleege, Georgina. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190604356.003.0001.
Повний текст джерелаRosik, Piotr. Świat dostępności - metody i komponenty : przykłady analiz empirycznych przestrzeni Polski = The world of accessibility : methods and components : cases of emprical analyses in Poland's space. Instytut Geografii i Przestrzennego Zagospodarowania im. Stanisława Leszczyckiego, Polska Akademia Nauk, 2021. http://dx.doi.org/10.7163/9788361590767.
Повний текст джерелаIon, Amalia-Elena. Management models for public policy readjustment within the EU inland freight transport industry. Editura Universitara, 2022. http://dx.doi.org/10.5682/9786062813420.
Повний текст джерелаЧастини книг з теми "Author Topic Model"
Mou, Haikun, Qian Geng, Jian Jin, and Chong Chen. "An Author Subject Topic Model for Expert Recommendation." In Information Retrieval Technology, 83–95. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28940-3_7.
Повний текст джерелаHo, Kim Thoa, Quang Vu Bui, and Marc Bui. "Dynamic Social Network Analysis Using Author-Topic Model." In Innovations for Community Services, 47–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93408-2_4.
Повний текст джерелаZhang, Yong, Dong-Hong Ji, Ying Su, and Po Hu. "Topic Analysis for Online Reviews with an Author-Experience-Object-Topic Model." In Information Retrieval Technology, 303–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25631-8_28.
Повний текст джерелаJiang, Shuhui, Xueming Qian, Jialie Shen, and Tao Mei. "Travel Recommendation via Author Topic Model Based Collaborative Filtering." In MultiMedia Modeling, 392–402. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14442-9_45.
Повний текст джерелаDai, Andrew M., and Amos J. Storkey. "The Grouped Author-Topic Model for Unsupervised Entity Resolution." In Lecture Notes in Computer Science, 241–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21735-7_30.
Повний текст джерелаLi, Chunshan, William K. Cheung, Yunming Ye, and Xiaofeng Zhang. "The Author-Topic-Community Model: A Generative Model Relating Authors’ Interests and Their Community Structure." In Advanced Data Mining and Applications, 753–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35527-1_62.
Повний текст джерелаZhang, Haowen, Peng Nie, Yanlong Wen, and Xiaojie Yuan. "Authorship Attribution for Short Texts with Author-Document Topic Model." In Knowledge Science, Engineering and Management, 29–41. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99365-2_3.
Повний текст джерелаXu, Shuo, Qingwei Shi, Xiaodong Qiao, Lijun Zhu, Hanmin Jung, Seungwoo Lee, and Sung-Pil Choi. "Author-Topic over Time (AToT): A Dynamic Users’ Interest Model." In Lecture Notes in Electrical Engineering, 239–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_37.
Повний текст джерелаTran, Duy-Hoang, Hideaki Takeda, Kei Kurakawa, and Minh-Triet Tran. "Combining Topic Model and Co-author Network for KAKEN and DBLP Linking." In Intelligent Information and Database Systems, 396–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28493-9_42.
Повний текст джерелаMahalakshmi, G. S., G. Muthu Selvi, and S. Sendhilkumar. "Generation of Author Topic Models Using LDA." In Computational Vision and Bio Inspired Computing, 837–48. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71767-8_72.
Повний текст джерелаТези доповідей конференцій з теми "Author Topic Model"
Kawamae, Noriaki. "Author interest topic model." In Proceeding of the 33rd international ACM SIGIR conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1835449.1835666.
Повний текст джерелаMukherjee, Subhabrata, Gaurab Basu, and Sachindra Joshi. "Joint Author Sentiment Topic Model." In Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.43.
Повний текст джерелаZhang, Tianbing, and Wang Luo. "Image Quality Assessment Using Author Topic Model." In 2013 International Conference on Information Technology and Applications (ITA). IEEE, 2013. http://dx.doi.org/10.1109/ita.2013.21.
Повний текст джерелаKaneishi, Shougo, and Takuya Tajima. "Word sense disambiguation using author topic model." In 2014 IEEE International Symposium on Independent Computing (ISIC). IEEE, 2014. http://dx.doi.org/10.1109/indcomp.2014.7011753.
Повний текст джерелаKeHua, Yang, and Yang Xiang. "Author-Topic-Sentiment Mixture(ATSM) model for Author's Sentiment Analysis." In 3rd International Conference on Computer Science and Service System. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/csss-14.2014.20.
Повний текст джерелаWang, Jianwen, Xiaohua Hu, Xinhui Tu, and Tingting He. "Author-conference topic-connection model for academic network search." In the 21st ACM international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2396761.2398597.
Повний текст джерелаShalinie, S. Mercy, K. Sundarakantham, and S. Pushparathi. "A author topic model based unsupervised algorithm for learning topics from large text collections." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972315.
Повний текст джерелаXu, Zhiheng, Long Ru, Liang Xiang, and Qing Yang. "Discovering User Interest on Twitter with a Modified Author-Topic Model." In 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies. IEEE, 2011. http://dx.doi.org/10.1109/wi-iat.2011.47.
Повний текст джерелаXuan, Junyu, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, and Xiangfeng Luo. "Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process." In 2015 IEEE International Conference on Data Mining (ICDM). IEEE, 2015. http://dx.doi.org/10.1109/icdm.2015.19.
Повний текст джерелаGiaquinto, Robert, and Arindam Banerjee. "DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora." In 2018 IEEE International Conference on Data Mining (ICDM). IEEE, 2018. http://dx.doi.org/10.1109/icdm.2018.00120.
Повний текст джерела