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Titlebook: Data Analysis, Machine Learning and Knowledge Discovery; Myra Spiliopoulou,Lars Schmidt-Thieme,Ruth Janning Conference proceedings 2014 Sp

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樓主: intensify
31#
發(fā)表于 2025-3-26 22:57:49 | 只看該作者
32#
發(fā)表于 2025-3-27 05:07:33 | 只看該作者
33#
發(fā)表于 2025-3-27 08:45:52 | 只看該作者
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發(fā)表于 2025-3-27 12:19:24 | 只看該作者
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發(fā)表于 2025-3-27 16:59:44 | 只看該作者
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發(fā)表于 2025-3-27 18:43:37 | 只看該作者
On Limiting Donor Usage for Imputation of Missing Data via Hot Deck Methods or even all values. To mitigate this donor over usage risk, some hot deck procedures limit the amount of times one donor may be selected for value donation. This study answers if limiting donor usage is a superior strategy when considering imputation variance and bias in parameter estimates.
37#
發(fā)表于 2025-3-28 01:21:30 | 只看該作者
Benchmarking Classification Algorithms on High-Performance Computing Clustersxperiments). Using these two packages, such experiments can now effectively and reproducibly be performed with minimal effort for the researcher. We present benchmarking results for standard classification algorithms and study the influence of pre-processing steps on their performance.
38#
發(fā)表于 2025-3-28 02:27:57 | 只看該作者
39#
發(fā)表于 2025-3-28 06:56:39 | 只看該作者
The Alpha-Procedure: A Nonparametric Invariant Method for Automatic Classification of Multi-Dimensiomensional repères (linear subspaces). In each step a repère and a feature are constructed in a way that they yield maximum discriminating power. Throughout the procedure the invariant, which is the object’s affiliation with a class, is preserved.
40#
發(fā)表于 2025-3-28 10:57:54 | 只看該作者
Clustering Large Datasets Using Data Stream Clustering Techniquese of data stream clustering algorithms as light-weight alternatives to conventional algorithms on large non-streaming data. We will discuss important issue including order dependence and report the results of an initial study using several synthetic and real-world data sets.
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