peptic-ulcer
发表于 2025-3-25 05:03:43
https://doi.org/10.1007/978-94-011-0115-8lly the outputs of non-scalable search-and-score Bayesian network structure learning methods that are run on much smaller sets of variables. We assess the scalability, the performance and the stability of the procedure through several experiments on synthetic and real databases scaling up to 139 351
MERIT
发表于 2025-3-25 07:35:51
Tomoharu Nakashima,Hisao Ishibuchitructure when necessary. For instance, vibration measurements can be used for monitoring the condition of a bridge. We investigate the problem of extracting features from lightweight wireless acceleration sensors. On-line algorithms for frequency domain monitoring are considered, and the resulting f
沉着
发表于 2025-3-25 13:53:23
Advances in Intelligent Data Analysis VIII978-3-642-03915-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
展览
发表于 2025-3-25 19:13:29
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广大
发表于 2025-3-25 23:07:26
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专心
发表于 2025-3-26 02:15:33
Martin Holeňa,Petr Pulc,Martin Koppe cross correlation distance. The resulting algorithm may also be used for meaningful clustering of time series subsequences, which delivers meaningless results in case of Euclidean or Pearson distance.
seroma
发表于 2025-3-26 04:46:58
Julia F. Knight,Alistair H. Lachlaninvestigated in this work to balance predictive values between labeled and unlabeled training data and to improve classification accuracy. Experimental results with three popular text classification corpora show that the proper use of additional unlabeled data in this semi-supervised approach can reduce classification errors by up to 26%.
anagen
发表于 2025-3-26 10:22:49
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高脚酒杯
发表于 2025-3-26 14:37:47
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GENRE
发表于 2025-3-26 19:22:38
Tomoharu Nakashima,Hisao Ishibuchiabilistic classifiers for damage detection purposes. We assess the relevance of the features in a large population of classifiers. The methods are assessed with real-life data from a wooden bridge model, where structural problems are simulated with small added weights.