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  1. 13 de may. de 2024 · Introduction. Longitudinal assessment of patient-reported outcomes (PROs), including health-related quality of life (HRQL), is important to understanding patients’ treatment experiences, unmet needs, and therapeutic outcomes. Treatment side effects can adversely affect multiple domains of HRQL. 1.

  2. 9 de may. de 2024 · Experiments on two challenging deductive reasoning datasets ProofWriter and RuleTaker show that hypothesis testing prompting not only significantly improves the effect, but also generates a more reasonable and standardized reasoning process. Keywords: Deductive Reasoning, Large Language Models, Prompt. \NAT@set@cites.

  3. Hace 3 días · A popular window function, the Hann window.Most popular window functions are similar bell-shaped curves. In signal processing and statistics, a window function (also known as an apodization function or tapering function) is a mathematical function that is zero-valued outside of some chosen interval.Typically, windows functions are symmetric around the middle of the interval, approach a maximum ...

  4. 1 de may. de 2024 · Douglass R. Cutting, David R. Karger, Jan O. Pedersen, and John W. Tukey. 1992. Scatter/Gather: a cluster-based approach to browsing large document collections. In Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR ’92).

  5. 11 de may. de 2024 · - John W. Tukey. The Magic of Graphs. The inspiration for this episode came from an unlikely source, outside of the world of Power BI. I stumbled across a digital graphic design publication...

  6. 18 de may. de 2024 · Dec 16, 2020 Communicating data effectively with data visualizations: Part 32 (John W. Tukey short biography) Dec 16, 2020 November 2020 Nov 18, 2020 Communicating data effectively with data visualizations: Part 31 (Visualizing COVID-19 deaths using sparklines) Nov 18, 2020

  7. 11 de may. de 2024 · John W. Tukey. 1949. Comparing Individual Means in the Analysis of Variance. Biometrics 5, 2 (1949), 99–114. http://www.jstor.org/stable/3001913 Google Scholar Cross Ref; Stanford University. 2023. Dialogue distillery: Crafting interpolable, interpretable, and introspectable dialogue from LLMs.