Titlebook: Relationale Datenbanken; Leitfaden für die Pr Andreas Meier Textbook 20045th edition Springer-Verlag Berlin Heidelberg 2004 Data-Mining.Dat

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Andreas Meierd computing power. The TCT-ColBERT model, introduced recently, has made retrieval systems more efficient, especially for indexing documents offline. However, it makes the index bigger because it needs to store each token for a particular document. Dimensionality reduction can help by reducing storag

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Andreas Meierraints that . satisfies (δ-constraints). This enables us to weaken the original order ? leading to the central definition of maximal consistent effect preservers (MCEs). We proof a normal form result for MCEs that relates them to GCSs and implies existence and uniqueness. This close relationship sug

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Andreas Meierity reduction methods: PCA (Principal Component Analysis) and truncated-SVD (truncated Singular Value Decomposition). The main objective was to find out the most important parts of the embeddings for determining the similarity in documents and queries. The MS MARCO passage collection (test-2019) was

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ions through informed feature selection. This contribution combines the simplicity of local surrogate models with the robust capabilities of temporal Transformers. Our experimental results demonstrate notable improvements in forecasting accuracy during volatile periods, with equally promising improv

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Andreas Meier1989, and in Rostock (Germany) in 1991. Proceedings of these previous events were published by Springer-Verlag as volumes 305, 364, 495, and 1762 of the LNCS series. In addition the FoIKS sympo978-3-540-43220-3978-3-540-45758-9Series ISSN 0302-9743 Series E-ISSN 1611-3349