使无效
发表于 2025-3-23 12:49:53
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亚麻制品
发表于 2025-3-23 17:25:43
Orthogonality and Presuppositions: A Bayesian Perspective,erged. It seems that this distinction correlates with an intuition of (non-)., that is, of (non-)independence between the main content and the presupposition. I argue that this intuition is correct to some extent but has to be clarified. To this aim, I propose a Bayesian approach, which provides a more precise rendering of orthogonality.
overweight
发表于 2025-3-23 21:43:21
Variations on a Bayesian Theme: Comparing Bayesian Models of Referential Reasoning, terms of their ability to predict relevant empirical data. The result suggests that the RSA model could be adapted and extended to improve its predictive power, in particular by taking speaker preferences into account.
证实
发表于 2025-3-24 01:06:30
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MILL
发表于 2025-3-24 04:43:40
Weidong Huang,Leila Alem,Mark A. Livingston showed that the difference between upper and lower bounds differs with the roundness of .. We show how the data can be explained by a production model of the speaker. We are interested in the architecture of such a model, and argue that causal Bayesian networks provide a natural and promising approach.
COM
发表于 2025-3-24 07:10:17
Background to Human Factors in Healthcare,situations those words are used to refer to. It is argued that doing so provides a framework from which vagueness arises naturally. It is also claimed that such a framework is in a position to better capture the boundarylessness of vague concepts.
nostrum
发表于 2025-3-24 12:18:39
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GRIEF
发表于 2025-3-24 16:15:12
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恭维
发表于 2025-3-24 19:56:50
https://doi.org/10.1007/978-1-4614-4205-9uced to probability maximation within Grice’s intention recognition. Finally, the stochastic models used can be causal, thus incorporating new ideas on the analysis of causality using Bayesian nets. The paper explores and connects these different ways of being committed to BNLSP.
绕着哥哥问
发表于 2025-3-24 23:20:18
Marco de Sá,Elizabeth F. Churchillomotor (Information and inference, 148–194, .), and to propose a new version of complete logic for better questions and answers—Better-Question-and-Answer Logic (.)—the model of the language of which is based on the qualitative and measurement-theoretic approach.