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Titlebook: Kwaliteitsstandaarden Jeugdzorg Q4C; Wat kinderen en jong Fiet Beek,Leo Rutjes Book 2009Latest edition Bohn Stafleu van Loghum 2009

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樓主: Falter
41#
發(fā)表于 2025-3-28 18:30:02 | 只看該作者
42#
發(fā)表于 2025-3-28 19:31:41 | 只看該作者
. Huebner Foundation for Insurance Education at the University of Pennsylvania‘s Wharton School made this book possible by financing publication costs. We are g978-90-481-5789-1978-94-015-7957-5Series ISSN 0924-5014
43#
發(fā)表于 2025-3-29 01:05:01 | 只看該作者
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
44#
發(fā)表于 2025-3-29 05:56:01 | 只看該作者
Fiet van Beek,Leo Rutjesity 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
45#
發(fā)表于 2025-3-29 10:38:23 | 只看該作者
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
46#
發(fā)表于 2025-3-29 12:15:36 | 只看該作者
Fiet van Beek,Leo Rutjesions 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
47#
發(fā)表于 2025-3-29 18:18:26 | 只看該作者
48#
發(fā)表于 2025-3-29 22:51:49 | 只看該作者
such as tourist websites. We found that when taking an off-the-shelf model, Homepage2Vec, a combination of visual and textual embedding, performs best. When applying transferred learning, MarkupLM, a markup language-based model, outperforms the others in both cluster scoring as well as precision and
49#
發(fā)表于 2025-3-30 01:31:19 | 只看該作者
50#
發(fā)表于 2025-3-30 08:03:58 | 只看該作者
Ineke Kester,Tanno Klijnalyze the impact of the good selection of the initial modes on both KM-PF and KM-PR. The test of the new methods that select the initial modes from the most dissimilar objects shows the improvement made in terms of accuracy, iteration number, and execution time.
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