记忆
发表于 2025-3-26 21:38:23
sed in the exploitation of the inter-documents similarities (lexical and/or semantics) after a sophisticated preprocessing. The experimental evaluation demonstrates that the proposed algorithm has the potential to improve the quality of the retrieved results.
Antarctic
发表于 2025-3-27 01:55:53
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myocardium
发表于 2025-3-27 08:35:54
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放气
发表于 2025-3-27 09:43:08
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偏离
发表于 2025-3-27 16:10:30
Detecting Question Intention Using a K-Nearest Neighbor Based Approachuestion intention. In addition, a k-nearest neighbor based approach has been developed for question classification. Experiments show that our approach has a good level of accuracy in identifying different question types.
Condescending
发表于 2025-3-27 20:29:50
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aplomb
发表于 2025-3-27 22:00:53
Query Disambiguation Based on Clustering Techniquessed in the exploitation of the inter-documents similarities (lexical and/or semantics) after a sophisticated preprocessing. The experimental evaluation demonstrates that the proposed algorithm has the potential to improve the quality of the retrieved results.
尖酸一点
发表于 2025-3-28 04:11:42
The Biomolecular Computation Paradigm: A Survey in Massive Biological Computationtion additionally paves the way for two- and three-dimensional self assemblying biological tiles which are closely linked at a theoretical level to a Turing machine, establishing thus its computational power. Applications include medium sized instances of TSP and the evaluation of the output of bounded fan-out Boolean circuits.
configuration
发表于 2025-3-28 09:17:15
Conference proceedings 2018ations and Innovations, AIAI 2018, held in Rhodes, Greece, in May 2018. The workshops were the Workshop on Semantics in the Deep: Semantic Analytics for Big Data, SEDSEAL 2018; the Third Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2018; the 7th Mining Humanistic Data Workshop
Ardent
发表于 2025-3-28 13:41:45
Towards Big Data Analytics in Large-Scale Federations of Semantically Heterogeneous IoT Platformsusing semantic mappings between them and a unified ontology. Data queries to the SIL and result collection is handled by a cloud-based data management layer, namely the Data Lake, along with storage of metadata needed by data analytics methods. Based on this infrastructure, web-based data analytics