要控制
发表于 2025-3-23 13:08:33
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collateral
发表于 2025-3-23 16:17:41
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熔岩
发表于 2025-3-23 20:21:52
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Kindle
发表于 2025-3-23 22:54:10
Support and Centrality: Learning Weights for Knowledge Graph Embedding Modelsstructural information. The learned embeddings can be used in multiple downstream tasks such as question answering, information extraction, query expansion, semantic similarity, and information retrieval. Over the past years, multiple embedding techniques have been proposed based on different underl
松软无力
发表于 2025-3-24 04:30:16
OmniScience and Extensions – Lessons Learned from Designing a Multi-domain, Multi-use Case Knowledgeto date, comprehensive and to the point data. One of the key aspects of that offer is to have a global Knowledge Organization System (KOS) overarching scientific branches but also going deep enough into each domain to provide rich annotation or classification capacities. Knowing that the endeavor of
藕床生厌倦
发表于 2025-3-24 07:30:56
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expansive
发表于 2025-3-24 12:25:42
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Intentional
发表于 2025-3-24 18:04:03
Automating Class/Instance Representational Choices in Knowledge Basese form of corresponding textual corpora such as Wikipedia articles. The approach, based on machine classification of the text, avoids the need for feature engineering and provides valuable guidance when building or refining large knowledge bases. The approach works well over different domains and ou
摸索
发表于 2025-3-24 22:28:36
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盘旋
发表于 2025-3-25 01:07:50
Maxime Clement,Ryutaro Ichise019 in honour of Sergio Albeverio. It presents the new area of studies concerning invariance and symmetry properties of finite and infinite dimensional stochastic differential equations.This area constitutes a natural, much needed, extension of the theory of classical ordinary and partial differenti