博爱家
发表于 2025-3-28 15:24:58
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Firefly
发表于 2025-3-28 21:54:55
Evaluating Progression of Alzheimer’s Disease by Regression and Classification Methods in a Narrativs in Coh-Metrix-Dementia must be reduced in size. Three feature selection methods are compared. In our experiments with classification, it was possible to separate CTL, AD, and MCI with 0.817 . score, and separate CTL and MCI with 0.900 . score. As for regression, the best results for MAE were 0.238
不确定
发表于 2025-3-29 00:47:06
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Ovulation
发表于 2025-3-29 06:24:17
0302-9743were carefully reviewed and selected from 52 submissions. The papers are organized in topical sections named: language applications, language processing, and language resources..978-3-319-41551-2978-3-319-41552-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
急急忙忙
发表于 2025-3-29 09:39:15
Strategic Sourcing: Introduction,ere used to query and benchmark our system. Currently, the system manages to answer up to 42 % of those questions. This document describes the modules that compose the system and how they are combined, providing a brief analysis on them, and also current results, as well as some expectations regarding future work.
Etching
发表于 2025-3-29 13:17:17
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清真寺
发表于 2025-3-29 17:20:54
Advanced Studies in Supply Managemented method and several experiences are reported. We also use the conditional probability as a reliability measure of the compositional rules. The reliability of the learned rules ranges from 60.44 % for verb-noun phrases to 100 % for adjective-adjective phrases.
可耕种
发表于 2025-3-29 23:15:00
Ramona Niederschweiberer,Florian C. Kleemannsampled configurations. RNTN achieved the best result on the over-sampled corpus. The Naive Bayes baseline was not surpassed in the under-sampled corpus with Pos/Neg classes, which was the smallest corpus configuration.
Eulogy
发表于 2025-3-30 00:03:23
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Insufficient
发表于 2025-3-30 06:31:56
https://doi.org/10.1007/978-981-10-1723-0customized reading to avoid the lack of interest by students who are more advanced in reading and the blocking of those that still need to make further progress. We obtained 52 % of accuracy in classifying texts into 5 levels and 74 % in 3 levels. The results prove to be promising when compared to the state-of-art work.