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Titlebook: Eternal Systems; First International Alessandro Moschitti,Riccardo Scandariato Conference proceedings 2012 The Editor(s) (if applicable) a

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樓主: 決絕
31#
發(fā)表于 2025-3-26 22:48:13 | 只看該作者
32#
發(fā)表于 2025-3-27 02:53:44 | 只看該作者
33#
發(fā)表于 2025-3-27 07:55:30 | 只看該作者
Large-Scale Learning with Structural Kernels for Class-Imbalanced Datasetscale tasks. More specifically, we propose two important enhancements of the approximate cutting plane algorithm to train Support Vector Machines with structural kernels: (i) a new sampling strategy to handle class-imbalanced problem; and (ii) a parallel implementation, which makes the training scale
34#
發(fā)表于 2025-3-27 10:05:44 | 只看該作者
35#
發(fā)表于 2025-3-27 14:31:19 | 只看該作者
Predicting User Tags Using Semantic Expansionof-articles algorithm for effectively searching through the Wikipedia articles for extracting relevant articles. The proposed framework has been evaluated against MediaEval 2010 Wild Wild Web dataset, which consists of large collection of Internet videos.
36#
發(fā)表于 2025-3-27 20:43:22 | 只看該作者
1865-0929 ey are organized in topical sections on software and secure systems, machine learning for software systems, and ontology and knowledge representations.978-3-642-28032-0978-3-642-28033-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
37#
發(fā)表于 2025-3-27 22:48:10 | 只看該作者
38#
發(fā)表于 2025-3-28 05:56:13 | 只看該作者
https://doi.org/10.1007/978-981-13-6244-6ments, and source code statements. Moreover their relevance is estimated on the basis of the project characteristics, by applying a machine learning approach based on a probabilistic model and on the Expectation-Maximization algorithm. To group source files accordingly, two clustering algorithms hav
39#
發(fā)表于 2025-3-28 06:35:40 | 只看該作者
Masaki Yoshida,Takayuki Fujiwaraof-articles algorithm for effectively searching through the Wikipedia articles for extracting relevant articles. The proposed framework has been evaluated against MediaEval 2010 Wild Wild Web dataset, which consists of large collection of Internet videos.
40#
發(fā)表于 2025-3-28 14:08:59 | 只看該作者
Comparing Structure-Oriented and Behavior-Oriented Variability Modeling for Workflowsty modeling is a way of keeping track at the model level of the currently supported and used workflow variants. Variability modeling approaches for workflows address two directions: structure-oriented approaches explicitly specify the workflow variants by means of linguistic constructs, while behavi
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