defray
发表于 2025-3-23 10:51:03
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GLUT
发表于 2025-3-23 16:00:10
https://doi.org/10.1007/978-94-010-1786-2l conformation of proteins. Currently, most predictors are based on machine learning approaches with a short fixed-size input window scanning over the amino acid sequence. The center of the window corresponds to the prediction site where the prediction is performed by utilizing the properties of nei
重叠
发表于 2025-3-23 19:13:31
Sensing and Objective Reference,urate classification. In both processes, we apply the idea of local page group structure. The rough filtering comprehensively gathers all potential homepages from the web with as few noise pages as possible. It uses property-based keyword lists according to four page group models that are based on t
Range-Of-Motion
发表于 2025-3-24 00:48:35
https://doi.org/10.1007/978-3-030-53088-4aningful sentences relevant to a given topic. The proposed method decomposes a sentence into the linear combination of sparse non-negative semantic features so that it can represent a sentence as the sum of a few semantic features that are comprehensible intuitively. It can avoid extracting the sent
天赋
发表于 2025-3-24 06:17:08
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curettage
发表于 2025-3-24 10:04:20
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Focus-Words
发表于 2025-3-24 12:14:02
https://doi.org/10.1007/978-3-540-72524-4Extensible Markup Language (XML); Path; Routing; classification systems; data engineering; data managemen
拘留
发表于 2025-3-24 18:40:01
978-3-540-72483-4Springer-Verlag Berlin Heidelberg 2007
CULP
发表于 2025-3-24 21:46:04
https://doi.org/10.1007/978-94-011-4393-6gh experimental study shows that IMCS outperforms the state-of-the-art algorithms – PrefixSpan, CloSpan, BIDE and a recently proposed incremental mining algorithm IncSpan by about a factor of 4 to more than an order of magnitude.
Estimable
发表于 2025-3-25 00:57:33
https://doi.org/10.1007/978-94-010-1786-2om the center residue. We have studied on how the prediction performance can be affected by imposing different weights on the features according to the distance of residues from the center residue, and in this work, we propose an adaptive weighting scheme to improve prediction accuracy.