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University of Edinburgh

AstraZeneca Researchers Explain the Concept and Applications of the Shapley Value...

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In many practical areas of machine learning, such as explainability, feature selection, data valuation, ensemble pruning, and federated learning, measuring relevance and attribution of...

Researchers From Edinburgh and Oxford Propose ‘Dist2Cycle’: A Simplicial Neural Network...

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Background of GNNs and Simplicial Complexes A graph is a type of data structure that consists of two components, vertices, and edges. Graph Neural Network...

Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks

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Researchers at the University of Edinburgh and Zhejiang University have revealed a unique way to combine deep neural networks (DNNs) for creating a new...
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