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Titlebook: Emerging Paradigms in Machine Learning; Sheela Ramanna,Lakhmi C Jain,Robert J. Howlett Book 2013 Springer-Verlag Berlin Heidelberg 2013 Em

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41#
發(fā)表于 2025-3-28 15:08:29 | 只看該作者
42#
發(fā)表于 2025-3-28 20:11:20 | 只看該作者
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發(fā)表于 2025-3-29 02:51:22 | 只看該作者
Rough Set and Artificial Neural Network Approach to Computational Stylisticsd differentiating features amongst their styles, for authorship attribution, and for recognition of documents based not on their topic, which is so common, but style. Stylistic analysis belongs with text mining, data mining, information retrieval, but also pattern recognition [4].
44#
發(fā)表于 2025-3-29 07:01:41 | 只看該作者
45#
發(fā)表于 2025-3-29 10:02:02 | 只看該作者
46#
發(fā)表于 2025-3-29 15:29:02 | 只看該作者
Andreas Nicklisch,Fabian Paetzelrelative to different cost functions such as depth, average depth, and number of nodes. For decision trees, we analyze relationships between depth and number of misclassifications. We also discuss results of computer experiments with some datasets from UCI ML Repository.
47#
發(fā)表于 2025-3-29 16:31:11 | 只看該作者
Charlotte von Bülow,Peter Simpsonon of actions or plans, their (changing in time) pre and post conditions. These information systems create a starting point for perception modeling, i.e., modeling of the process of understanding of sensory measurements.
48#
發(fā)表于 2025-3-29 22:31:14 | 只看該作者
49#
發(fā)表于 2025-3-30 00:06:04 | 只看該作者
Neem de regie over je depressieoximations are computed first and then the rule induction algorithm is applied. In the local version of MLEM2, rule sets are induced directly from raw data sets, incomplete and with numerical attributes. Results of experiments on both approaches are included.
50#
發(fā)表于 2025-3-30 05:06:33 | 只看該作者
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