乳钵 发表于 2025-3-21 17:49:11
书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469591<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2019读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469591<br><br> <br><br>抵押贷款 发表于 2025-3-21 22:58:59
Scalable Dictionary Classifiers for Time Series Classification,ces in a time series. The ensemble based Bag of Symbolic Fourier Approximation Symbols (BOSS) was found to be a top performing TSC algorithm in a recent evaluation, as well as the best performing dictionary based classifier. However, BOSS does not scale well. We evaluate changes to the way BOSS chooSeminar 发表于 2025-3-22 02:51:03
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Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Grae cancer using eosin and hematoxylin stained histopathological images. In this work the above problem is approached as follows: the optical density of each whole slide image is calculated and its eosin and hematoxylin concentration components estimated. Then, hand-crafted features, which are expecte偏狂症 发表于 2025-3-22 16:42:06
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Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion,o measure the value of product sales when an user clicks an ad. As a case study, we consider big data provided by a global mobile marketing company. Several experiments were held, considering a rolling window validation, different datasets, learning methods and performance measures. Overall, competi确保 发表于 2025-3-22 23:49:23
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,Adaptive Dimensionality Adjustment for Online “Principal Component Analysis”,l growth in available data and the resulting storage requirements are often underestimated bottlenecks. Therefore, efficient dimensionality reduction gets more attention and becomes more relevant. One of the most widely used techniques for dimensionality reduction is “Principal Component Analysis” (山崩 发表于 2025-3-23 08:50:45
Relevance Metric for Counterfactuals Selection in Decision Trees,herent rationale behind model predictions. In the particular case of example-based explanation methods, they are focused on using particular instances, previously defined or created, to explain the behaviour of models or predictions. Counterfactual-based explanation is one of these methods. A counte