断头台
发表于 2025-3-21 19:35:24
书目名称Data Mining Applications Using Artificial Adaptive Systems影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0262905<br><br> <br><br>书目名称Data Mining Applications Using Artificial Adaptive Systems读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0262905<br><br> <br><br>
CUR
发表于 2025-3-21 20:27:38
Meta Net: A New Meta-Classifier Family,An innovative taxonomy for the classification of classifiers is presented. This new family of meta-classifiers called Meta-Net, having its foundation in the theory of independent judges, is introduced, defined, described, and shown to possess very good performance when compared to other known meta-classifiers.
Systemic
发表于 2025-3-22 04:22:48
William J. TastleAdvanced research in eight major areas with accompanying theory, proofs where appropriate, and illustrated by practical example.Readers will be able to immediately capture the meaning of the mathemati
ascetic
发表于 2025-3-22 05:50:25
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Expediency
发表于 2025-3-22 09:51:48
https://doi.org/10.1007/978-1-4614-4223-3Data Mining; Spatiotemporal mining; Unsupervised learning; adaptive systems; linear dynamics; multi-dimen
使尴尬
发表于 2025-3-22 16:13:35
978-1-4939-4445-3Springer Science+Business Media New York 2013
使尴尬
发表于 2025-3-22 18:47:18
Marco Antonio Pereira Querol,Laura Seppänenment for tumors in an effort to identify relationships that might yield knowledge in preventing brain volume loss in future treatments. Analysis of the pre- and post-treatment data is performed first using traditional statistics and then with the assistance of a new kind of artificial adaptive syste
endarterectomy
发表于 2025-3-23 00:10:15
Marco Antonio Pereira Querol,Laura Seppänenish between benign and malignant lung nodules in Multi Detector Computed Tomography. A total of 90 nodules belonging to 88 patients are analyzed. A set of adjacent slices representing the lesion selected from the CT Image analysis by the experts are collected and stored in a database. Features extra
昏迷状态
发表于 2025-3-23 02:36:31
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ACME
发表于 2025-3-23 08:18:03
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