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Titlebook: Machine Learning and Knowledge Extraction; 5th IFIP TC 5, TC 12 Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2021

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61#
發(fā)表于 2025-4-1 03:59:43 | 只看該作者
Automated Short Answer Grading Using Deep Learning: A Survey,G is investigated for many years, but this task continues to draw attention because of the associated research challenges. One of the core constraints of ASAG is the limited availability of domain-relevant training data. The task of ASAG can be tackled with several approaches and they can be broadly
62#
發(fā)表于 2025-4-1 08:54:40 | 只看該作者
Fair and Adequate Explanations,anations with a rigorous logical foundation provide valid and complete explanations, but they have an epistemological problem: they may be too complex for humans to understand and too expensive to compute even with automated reasoning methods. Interpretability requires . explanations that humans can
63#
發(fā)表于 2025-4-1 10:21:03 | 只看該作者
64#
發(fā)表于 2025-4-1 15:25:05 | 只看該作者
65#
發(fā)表于 2025-4-1 19:59:49 | 只看該作者
66#
發(fā)表于 2025-4-2 00:55:55 | 只看該作者
67#
發(fā)表于 2025-4-2 03:36:55 | 只看該作者
Airbnb Price Prediction Using Machine Learning and Sentiment Analysis,a daily basis. This paper aims to create a model for predicting the price of an Airbnb listing using property specifications, owner information, and customer reviews for the listing. Owners and customers can use the resulting model to estimate the expected value of an Airbnb listing. Linear regressi
68#
發(fā)表于 2025-4-2 07:06:35 | 只看該作者
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