neutralize
发表于 2025-3-30 08:40:28
Gaussian LDA and Word Embedding for Semantic Sparse Web Service DiscoveryWe also leverage the Gaussian LDA in service discovery, which takes continuous word distribution as the input and interprets the Web service description as a hierarchical model by its two distributions. Based on the Gaussian LDA and word embedding, we propose a Web service query and ranking approach
欺骗世家
发表于 2025-3-30 14:42:16
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inferno
发表于 2025-3-30 20:23:32
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discord
发表于 2025-3-30 23:20:58
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钱财
发表于 2025-3-31 03:52:34
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受伤
发表于 2025-3-31 06:39:02
Morad Benyoucef,Ronald PringadiWe also leverage the Gaussian LDA in service discovery, which takes continuous word distribution as the input and interprets the Web service description as a hierarchical model by its two distributions. Based on the Gaussian LDA and word embedding, we propose a Web service query and ranking approach
形容词词尾
发表于 2025-3-31 10:05:31
Ahmed Tealeb,Ahmed Awad,Galal Galal-Edeenensive task and memory-unintensive task for execution in parallel. The experimental results demonstrate that our algorithm can find the optimal solution among all the possible combinations. The Maximum improvement of our algorithm is 15.6%).
EVICT
发表于 2025-3-31 13:34:57
Gerald Schermann,Jürgen Cito,Philipp Leitnerently. LBDAG-DNE can find a good projection matrix, which allows neighbors belonging to the same class to be compact while neighbors belonging to different classes become separable in the subspace. Experiments on two image databases illustrate the effectiveness of the proposed approach.
Gentry
发表于 2025-3-31 20:55:49
Collaborate Computing: Networking, Applications and Worksharing12th International C
传授知识
发表于 2025-4-1 01:03:42
https://doi.org/10.1007/978-3-319-59288-6algorithms; artificial intelligence; cloud computing; computer networks; data security; Internet; machine