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Studying Early Decision Making with Progressive Bar Charts.

, , , , и . IEEE Trans. Vis. Comput. Graph., 29 (1): 407-417 (2023)

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Christopher Christopher

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Christopher Reynolds

Christopher Häberlein

Christopher Pöhlmann

 

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Studying Early Decision Making with Progressive Bar Charts., , , , и . IEEE Trans. Vis. Comput. Graph., 29 (1): 407-417 (2023)Finding the most interesting correlations in a database: how hard can it be?. Information Systems, Volume 30 (1): 21-46 (марта 2005)ResIST: Layer-wise decomposition of ResNets for distributed training., , , и . UAI, том 180 из Proceedings of Machine Learning Research, стр. 610-620. PMLR, (2022)Evaluation of probabilistic threshold queries in MCDB., , и . SIGMOD Conference, стр. 687-698. ACM, (2010)The DataPath system: a data-centric analytic processing engine for large data warehouses., , , , и . SIGMOD Conference, стр. 519-530. ACM, (2010)Scalable approximate query processing with the DBO engine., , , и . SIGMOD Conference, стр. 725-736. ACM, (2007)Materialized Sample Views for Database Approximation., и . IEEE Trans. Knowl. Data Eng., 20 (3): 337-351 (2008)Do Anesthesiologists Know What They Are Doing? Mining a Surgical Time-Series Database to Correlate Expert Assessment with Outcomes., , , и . ACM Trans. Knowl. Discov. Data, 10 (3): 24:1-24:27 (2016)Parallel and Distributed MCMC via Shepherding Distributions., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1819-1827. PMLR, (2018)A comparison of platforms for implementing and running very large scale machine learning algorithms., , , , , и . SIGMOD Conference, стр. 1371-1382. ACM, (2014)