Global ETD Search
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Showing 1 to 5 of 5 for “"machine reasoning"”.
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Logic, Learning, and Explanation: Theoretical and Applied Perspectives on Machine Reasoning
… explores the interface between logic and machine learning, focusing on both theoretical foundations and applications to interpretability. It is structured around three main themes: the logical expressivity of Graph Neural Networks (GNNs), interpretability methods for GNNs, and the use of …
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Imaginative reasoning in probabilistic programs
Human reasoning is complex, messy, and approximate, and as a result, has been subject to a millennia-long enterprise to extract principles that are simple, neat, and impeccable. This enterprise is incomplete; there are acts of reasoning that humans perform everyday, often effortlessly, that remain …
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Organizational knowledge extraction from business process models = Szervezeti tudás kinyerése üzleti folyamatmodellekből
… and a wider range of possibilities for machine-reasoning. The research outcome is going to be tested in a reference architecture, where the main goal is to create a supporting infrastructure capable to conduct multi-lateral searches especially for the purpose to support employees to …
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Explainable Multi-Step Reasoning Over Natural Language
Despite the significant progress of reasoning over natural language in the recent years, multi-step natural language reasoning is still a great challenge to the current algorithms. The challenges come from three aspects. First, some multi-step reasoning problems require the retrieval of evidence …
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Image-based 3D Reconstructions via Differentiable Rendering of Neural Implicit Representations
… and is a fundamental step towards 3D machine reasoning, and the ability to reconstruct objects from RGB images only significantly enhances its applications. Representing objects in 3D involves learning two distinct aspects of the objects: geometry, which represents where the mass is …