Literatura científica selecionada sobre o tema "Data Domains"
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Artigos de revistas sobre o assunto "Data Domains"
Macak, Martin, Mouzhi Ge e Barbora Buhnova. "A Cross-Domain Comparative Study of Big Data Architectures". International Journal of Cooperative Information Systems 29, n.º 04 (28 de outubro de 2020): 2030001. http://dx.doi.org/10.1142/s0218843020300016.
Texto completo da fonteRui, Xue, Ziqiang Li, Yang Cao, Ziyang Li e Weiguo Song. "DILRS: Domain-Incremental Learning for Semantic Segmentation in Multi-Source Remote Sensing Data". Remote Sensing 15, n.º 10 (12 de maio de 2023): 2541. http://dx.doi.org/10.3390/rs15102541.
Texto completo da fonteSon, Jiseong, Chul-Su Lim, Hyoung-Seop Shim e Ji-Sun Kang. "Development of Knowledge Graph for Data Management Related to Flooding Disasters Using Open Data". Future Internet 13, n.º 5 (11 de maio de 2021): 124. http://dx.doi.org/10.3390/fi13050124.
Texto completo da fonteCrooks, Natacha. "Efficient Data Sharing across Trust Domains". ACM SIGMOD Record 52, n.º 2 (10 de agosto de 2023): 36–37. http://dx.doi.org/10.1145/3615952.3615962.
Texto completo da fonteJeon, Hyunsik, Seongmin Lee e U. Kang. "Unsupervised multi-source domain adaptation with no observable source data". PLOS ONE 16, n.º 7 (9 de julho de 2021): e0253415. http://dx.doi.org/10.1371/journal.pone.0253415.
Texto completo da fonteKang, Byung Ok, Hyeong Bae Jeon e Jeon Gue Park. "Speech Recognition for Task Domains with Sparse Matched Training Data". Applied Sciences 10, n.º 18 (4 de setembro de 2020): 6155. http://dx.doi.org/10.3390/app10186155.
Texto completo da fonteLi, Rumeng, Xun Wang e Hong Yu. "MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 05 (3 de abril de 2020): 8245–52. http://dx.doi.org/10.1609/aaai.v34i05.6339.
Texto completo da fonteSilva, Amila, Ling Luo, Shanika Karunasekera e Christopher Leckie. "Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 1 (18 de maio de 2021): 557–65. http://dx.doi.org/10.1609/aaai.v35i1.16134.
Texto completo da fonteDarch, Peter T., e Christine L. Borgman. "Ship space to database: emerging infrastructures for studies of the deep subseafloor biosphere". PeerJ Computer Science 2 (14 de novembro de 2016): e97. http://dx.doi.org/10.7717/peerj-cs.97.
Texto completo da fonteNakahira, Katsuko T., Yoshiki Mikami, Hiroyuki Namba, Minehiro Takeshita e Shigeaki Kodama. "Country domain governance: an analysis by data-mining of country domains". Artificial Life and Robotics 16, n.º 3 (dezembro de 2011): 311–14. http://dx.doi.org/10.1007/s10015-011-0937-5.
Texto completo da fonteTeses / dissertações sobre o assunto "Data Domains"
Crockett, Keeley Alexandria. "Fuzzy rule induction from data domains". Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243720.
Texto completo da fonteMcLean, David. "Improving generalisation in continuous data domains". Thesis, University of Manchester, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283816.
Texto completo da fonteHsu, Bo-June (Bo-June Paul). "Language Modeling for limited-data domains". Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/52796.
Texto completo da fonteThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 99-109).
With the increasing focus of speech recognition and natural language processing applications on domains with limited amount of in-domain training data, enhanced system performance often relies on approaches involving model adaptation and combination. In such domains, language models are often constructed by interpolating component models trained from partially matched corpora. Instead of simple linear interpolation, we introduce a generalized linear interpolation technique that computes context-dependent mixture weights from features that correlate with the component confidence and relevance for each n-gram context. Since the n-grams from partially matched corpora may not be of equal relevance to the target domain, we propose an n-gram weighting scheme to adjust the component n-gram probabilities based on features derived from readily available corpus segmentation and metadata to de-emphasize out-of-domain n-grams. In scenarios without any matched data for a development set, we examine unsupervised and active learning techniques for tuning the interpolation and weighting parameters. Results on a lecture transcription task using the proposed generalized linear interpolation and n-gram weighting techniques yield up to a 1.4% absolute word error rate reduction over a linearly interpolated baseline language model. As more sophisticated models are only as useful as they are practical, we developed the MIT Language Modeling (MITLM) toolkit, designed for efficient iterative parameter optimization, and released it to the research community.
(cont.) With a compact vector-based n-gram data structure and optimized algorithm implementations, the toolkit not only improves the running time of common tasks by up to 40x, but also enables the efficient parameter tuning for language modeling techniques that were previously deemed impractical.
by Bo-June (Paul) Hsu.
Ph.D.
MAHOTO, NAEEM AHMED. "Data mining techniques for complex application domains". Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506368.
Texto completo da fonteRICUPERO, GIUSEPPE. "Exploring Data Hierarchies to Discover Knowledge in Different Domains". Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2744938.
Texto completo da fonteCarapelle, Claudia. "On the Satisfiability of Temporal Logics with Concrete Domains". Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-190987.
Texto completo da fonteMcGregor, Simon. "Artificial neural networks for novel data domains : principles and examples". Thesis, University of Sussex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497000.
Texto completo da fonteNg, Siu Hung. "An extension of the relational data model to incorporate ordered domains". Thesis, University College London (University of London), 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268033.
Texto completo da fonteBaxter, Rolf Hugh. "Recognising high-level agent behaviour through observations in data scarce domains". Thesis, Heriot-Watt University, 2012. http://hdl.handle.net/10399/2597.
Texto completo da fonteFerguson, Alexander B. "Higher order strictness analysis by abstract interpretation over finite domains". Thesis, University of Glasgow, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308143.
Texto completo da fonteLivros sobre o assunto "Data Domains"
Sychev, Alexander, Sergey Makhortov e Bernhard Thalheim, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81200-3.
Texto completo da fontePozanenko, Alexei, Sergey Stupnikov, Bernhard Thalheim, Eva Mendez e Nadezhda Kiselyova, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12285-9.
Texto completo da fonteKalinichenko, Leonid, Yannis Manolopoulos, Oleg Malkov, Nikolay Skvortsov, Sergey Stupnikov e Vladimir Sukhomlin, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96553-6.
Texto completo da fonteElizarov, Alexander, Boris Novikov e Sergey Stupnikov, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51913-1.
Texto completo da fonteKalinichenko, Leonid, Sergei O. Kuznetsov e Yannis Manolopoulos, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57135-5.
Texto completo da fonteManolopoulos, Yannis, e Sergey Stupnikov, eds. Data Analytics and Management in Data Intensive Domains. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23584-0.
Texto completo da fontePalmer, Martha Stone. Semantic processing for finite domains. Cambridge [England]: Cambridge University Press, 1990.
Encontre o texto completo da fonteKathleen, Hornsby, Yuan May e University Consortium for Geographic Information Science., eds. Understanding dynamics of geographic domains. Boca Raton: Taylor & Francis, 2008.
Encontre o texto completo da fonteFurtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Hershey, PA: Information Science Reference, 2010.
Encontre o texto completo da fonteFurtado, Pedro Nuno San-Banto, 1968-, ed. Evolving application domains of data warehousing and mining: Trends and solutions. Hershey, PA: Information Science Reference, 2010.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Data Domains"
Gold, Alex K. "Domains and DNS". In DevOps for Data Science, 169–76. Boca Raton: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003213345-13.
Texto completo da fonteGawlitzek-Maiwald, Ira. "Approaches to bilingual acquisition data". In (In)vulnerable Domains in Multilingualism, 139–59. Amsterdam: John Benjamins Publishing Company, 2003. http://dx.doi.org/10.1075/hsm.1.06gaw.
Texto completo da fonteRistoski, Petar. "Towards Linked Open Data Enabled Data Mining". In The Semantic Web. Latest Advances and New Domains, 772–82. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18818-8_50.
Texto completo da fonteMatter, Ulrich. "The Two Domains of Big Data Analytics". In Big Data Analytics, 13–24. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003378822-3.
Texto completo da fonteHughes, John. "Strictness detection in non-flat domains". In Programs as Data Objects, 112–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/3-540-16446-4_7.
Texto completo da fonteBertram, Martin, Mark A. Duchaineau, Bernd Hamann e Kenneth I. Joy. "Generalizing Lifted Tensor-Product Wavelets to Irregular Polygonal Domains". In Data Visualization, 289–300. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-1177-9_20.
Texto completo da fonteQu, Zhaowei, Yanjiao Zhao, Xiaoru Wang e Chunye Wu. "A Generic Model Based on Multiple Domains for Sentiment Classification". In Data Mining and Big Data, 393–403. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93803-5_37.
Texto completo da fonteWu, Xiaofeng, Peter Lucas, Susan Kerr e Roelf Dijkhuizen. "Learning Bayesian-Network Topologies in Realistic Medical Domains". In Medical Data Analysis, 302–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45497-7_46.
Texto completo da fonteter Hofstede, A. H. M., H. A. Proper e Th P. van der Weide. "Data modelling in complex application domains". In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 364–77. Cham: Springer International Publishing, 1992. http://dx.doi.org/10.1007/bfb0035142.
Texto completo da fonteAntiga, Luca, Joaquim Peiró e David A. Steinman. "From image data to computational domains". In Cardiovascular Mathematics, 123–75. Milano: Springer Milan, 2009. http://dx.doi.org/10.1007/978-88-470-1152-6_4.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Data Domains"
Shieh, Han-Ping D., e Mark H. Kryder. "The effects of wall stiffness on reproducibility of thermo-magnetically written domains*". In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ods.1985.waa4.
Texto completo da fonteWu, Jun, Hanghang Tong, Elizabeth Ainsworth e Jingrui He. "Adaptive Knowledge Transfer on Evolving Domains". In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020944.
Texto completo da fonteLi, Xueni, Guanggang Geng, Zhiwei Yan, Yong Chen e Xiaodong Lee. "Phishing detection based on newly registered domains". In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7841036.
Texto completo da fonteRuane, M., S. Gadetsky e M. Mansuripur. "Observation of Domains and Grooves on MO Disks with Optical Microscopy and Image Processing". In Optical Data Storage. Washington, D.C.: Optica Publishing Group, 1994. http://dx.doi.org/10.1364/ods.1994.wd8.
Texto completo da fontePine, Kathleen, Claus Bossen, Naja Holten Møller, Milagros Miceli, Alex Jiahong Lu, Yunan Chen, Leah Horgan, Zhaoyuan Su, Gina Neff e Melissa Mazmanian. "Investigating Data Work Across Domains". In CHI '22: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3491101.3503724.
Texto completo da fonteSilveira, Marcos Rogerio, Leandro Marcos da Silva, Adriano Mauro Cansian e Hugo Koji Kobayashi. "Detection of Newly Registered Malicious Domains through Passive DNS". In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671348.
Texto completo da fonteDunbar, DeJean. "Survey of Secure Network Protocols: United States Related Domains". In 3rd International Conference on Artificial Intelligence and Machine Learning (CAIML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121207.
Texto completo da fonteHoover, Christopher. "A Data-Centric Approach for Integrated Data Center Management". In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52159.
Texto completo da fonteTaddeo, Marco, Alberto Trombetta, Danilo Montesi e Stefano Pierantozzi. "Querying data across different legal domains". In the 17th International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2513591.2513642.
Texto completo da fonteLawrence, Michael, Rachel Pottinger e Sheryl Staub-French. "Coordination of data in heterogenous domains". In 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW 2010). IEEE, 2010. http://dx.doi.org/10.1109/icdew.2010.5452757.
Texto completo da fonteRelatórios de organizações sobre o assunto "Data Domains"
Steenkamp, H. M., N. Wodicka, O. M. Weller, J. Kendrick, I. Therriault, T. Peterson, C. J M Lawley e V. Tschirhart. Bedrock geology, Wager Bay area, Kivalliq, Nunavut, parts of NTS 56-F, G. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331890.
Texto completo da fonteSteenkamp, H. M., N. Wodicka, C. J M Lawley, T. Peterson, W. Garrison, I. Therriault, J. Kendrick, O. M. Weller e V. Tschirhart. Bedrock geology, Daly Bay area, Kivalliq, Nunavut, NTS 56-A, 46-D west, 46-E southwest, and 56-H south. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331888.
Texto completo da fonteSteenkamp, H. M., N. Wodicka, C. J M Lawley, T. Peterson, O. M. Weller, J. Kendrick e V. Tschirhart. Bedrock geology, Armit Lake area, Kivalliq, Nunavut, NTS 56-B and 56-C east. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331889.
Texto completo da fonteWoyczynski, Lauren, Christina Misunas e Md Irfan Hossain. Building the Adolescent Indicators and Gender Gaps Dashboard. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1014.
Texto completo da fonteVelez, Gladis, e Ragvi Shah. Reorienting Smart City Metrics to Emphasize Resident Well-Being: A Disparity-Oriented Approach. University of Miami, 2022. http://dx.doi.org/10.33596/report-1.
Texto completo da fonteHagedorn, G., R. Paulen, R. Fortin e E. Arnaud. Radiometric domains and the integration of multiple gamma-ray data sources for a remote area of northern Quebec. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/306142.
Texto completo da fonteHagedorn, G., R. C. Paulen, R. Fortin e E. Arnaud. Radiometric domains and the integration of multiple gamma-ray data sources for a remote area of northern Quebec. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308209.
Texto completo da fonteLora, Eduardo. The Distance between Perception and Reality in the Social Domains of Life. Inter-American Development Bank, agosto de 2013. http://dx.doi.org/10.18235/0011489.
Texto completo da fonteHenmi, Teizi. Evaluation Study of Mesoscale Models MM5 and BFM Over the Model Domains of Utah Using Surface Meteorological Data by Mesowest. Fort Belvoir, VA: Defense Technical Information Center, março de 2003. http://dx.doi.org/10.21236/ada411840.
Texto completo da fonteGrumet, Rebecca, e Benjamin Raccah. Identification of Potyviral Domains Controlling Systemic Infection, Host Range and Aphid Transmission. United States Department of Agriculture, julho de 2000. http://dx.doi.org/10.32747/2000.7695842.bard.
Texto completo da fonte