BET
发表于 2025-3-28 17:43:43
Machine Learning and Knowledge Extraction978-3-030-29726-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
裂隙
发表于 2025-3-28 22:21:59
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CRACY
发表于 2025-3-29 00:34:34
KANDINSKY Patterns as IQ-Test for Machine Learning,idation and training of explainability in AI. Kandinsky Patterns are at the same time easily distinguishable from human observers. Consequently, controlled patterns can be described by . humans and computers. The results of our study show that the majority of human explanations was made based on the
Initiative
发表于 2025-3-29 06:17:24
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PACK
发表于 2025-3-29 08:18:41
Estimating the Driver Status Using Long Short Term Memory,ituations and warn the drivers. We conducted an experiment in eight different driving scenarios and collected a large dataset from driving data and driver related data. We chose Long Short Term Memory (LSTM) as our machine learning method. We built and trained a stacked LSTM network to estimate the
飞来飞去真休
发表于 2025-3-29 12:16:45
Using Relational Concept Networks for Explainable Decision Support, steer the interpretation of the little data available with the knowledge of the expert..We created a framework that consists of concepts and relations between those concepts, for which the exact relational importance is not necessarily specified. A machine-learning approach is used to determine the
神经
发表于 2025-3-29 16:51:14
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破裂
发表于 2025-3-29 21:27:23
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Hot-Flash
发表于 2025-3-30 00:31:47
Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification,, we have developed a new algorithm for feature ranking and feature selection, named .. We have tested our proposed approach on two real-world gene expression data sets, both of which relate to respiratory viral infections. This Ranked MSD feature selection algorithm is able to reduce the feature se
chisel
发表于 2025-3-30 06:17:03
How to Improve the Adaptation Phase of the CBR in the Medical Domain,s very different from the stored ones, so the input from participated experts is needed, and a new rule will be stored. (3) The new case is partially similar satisfying adaptability conditions, in such a situation we adopt related decision rule to the new conditions under the supervision of the expe