威风
发表于 2025-3-21 18:08:34
书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0469581<br><br> <br><br>书目名称Intelligent Data Engineering and Automated Learning – IDEAL 2008读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0469581<br><br> <br><br>
ungainly
发表于 2025-3-21 21:19:14
Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecastinge effectiveness of the learned metrics. Experiments on real data of urban vehicular traffic flows are performed. Comparisons with traditional kernel regression with the Euclidean metric under two criterions show that the new method is more effective for short-term traffic flow forecasting.
Corral
发表于 2025-3-22 00:28:32
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoostground-lighter-character and the other is lighter-background-deeper-character, training a detector cannot convergent. To avoid this problem, two detectors are designed in the proposed method. Experimental results show the superiority of proposed method.
ascend
发表于 2025-3-22 07:10:55
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Intentional
发表于 2025-3-22 10:05:10
Proposal of Exploitation-Oriented Learning PS-r#r* requires .(..) memories where . and . are the numbers of types of a sensory input and an action.In this paper, we propose PS-r. that can learn an useful rational policy in the POMDPs environments by .(.) memories. We confirm the effectiveness of PS-r. in numerical examples.
CHECK
发表于 2025-3-22 16:55:35
Nonnegative Matrix Factorization (NMF) Based Supervised Feature Selection and Adaptationive Supervised Feature Adaptation (NSFA) learning algorithm. The supervised feature selection and adaptation improve the classification performance which is fully confirmed by simulations with text-document classification problem. Moreover, the non-negativity constraint, of this algorithm, provides biologically plausible and meaningful feature.
人类的发源
发表于 2025-3-22 19:07:38
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乐章
发表于 2025-3-22 23:20:14
A New Adaptive Strategy for Pruning and Adding Hidden Neurons during Training Artificial Neural Netwn problems, including Australian credit card assessment, diabetes, heart, iris, and thyroid problems. The experimental results show that the proposed strategy can design compact ANNs with good generalization ability.
indicate
发表于 2025-3-23 01:28:00
Using Kullback-Leibler Distance in Determining the Classes for the Heart Sound Signal ClassificationKL (Kullback-Leibler) distance between different signal types to determine if they should belong to the same class. From the classification experiments on the heart sound data consisting of 25 different types of signals, the proposed method proved to be quite efficient in determining the optimal set of classes.
有机体
发表于 2025-3-23 05:58:03
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