Results 211 to 220 of about 12,354,829 (261)
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Why Feature Featured Research?
Journal of the American Society of Echocardiography, 2008ersity 8195. This issue of the Journal of the American Society of Echocardiography (JASE) features a “featured research” article by Drs. Marielle SchererCrosbie and Helene Thibault. A little background may be helpful for some readers who may ask themselves the following questions: Why is JASE featuring featured research?
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Behavioral and Brain Sciences, 1998
Physiological evidence predicts a model of concept categorisation that evolves through direct interaction with object feature selection. The requirement stated by Schyns et al. for feature plasticity is supported, but important caveats raise a question about the level at which feature identification can occur.
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Physiological evidence predicts a model of concept categorisation that evolves through direct interaction with object feature selection. The requirement stated by Schyns et al. for feature plasticity is supported, but important caveats raise a question about the level at which feature identification can occur.
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Feature Selection Boosted by Unselected Features
IEEE Transactions on Neural Networks and Learning Systems, 2022Feature selection aims to select strongly relevant features and discard the rest. Recently, embedded feature selection methods, which incorporate feature weights learning into the training process of a classifier, have attracted much attention. However, traditional embedded methods merely focus on the combinatorial optimality of all selected features ...
Wei Zheng +5 more
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Feature Interaction for Streaming Feature Selection
IEEE Transactions on Neural Networks and Learning Systems, 2021Traditional feature selection methods assume that all data instances and features are known before learning. However, it is not the case in many real-world applications that we are more likely faced with data streams or feature streams or both. Feature streams are defined as features that flow in one by one over time, whereas the number of training ...
Peng Zhou +3 more
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2008
18F-FDG PET-CT is a sensitive method for detecting, staging, and monitoring the effects of therapy of many tumors. In the evaluation of malignancy with 18F-FDG, a potential pitfall in the assessment of the anterior mediastinum is mistaking normal uptake within the thymus from disease such as adenopathy or local invasion by tumor.
BAGNI, Bruno +3 more
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18F-FDG PET-CT is a sensitive method for detecting, staging, and monitoring the effects of therapy of many tumors. In the evaluation of malignancy with 18F-FDG, a potential pitfall in the assessment of the anterior mediastinum is mistaking normal uptake within the thymus from disease such as adenopathy or local invasion by tumor.
BAGNI, Bruno +3 more
openaire +1 more source

