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Titlebook: Machine Learning and Data Mining in Pattern Recognition; 14th International C Petra Perner Conference proceedings 2018 Springer Internation

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樓主: 切口
41#
發(fā)表于 2025-3-28 15:59:09 | 只看該作者
Detection of Computer-Generated Papers Using One-Class SVM and Cluster Approaches,ification using a one-class SVM approach compared with a clustering base procedure. The provided numerical experiments demonstrate very high ability of the proposed methodology to recognize artificially generated papers.
42#
發(fā)表于 2025-3-28 21:12:23 | 只看該作者
43#
發(fā)表于 2025-3-29 02:31:05 | 只看該作者
44#
發(fā)表于 2025-3-29 04:53:07 | 只看該作者
Predicting Social Unrest Using GDELT,els in the United States of America. In being able to identify and predict social unrest at the county level, programs/applications can be deployed to counteract its adverse effects. This paper attempts to address this task of identifying, understanding, and predicting when social unrest might occur
45#
發(fā)表于 2025-3-29 10:08:30 | 只看該作者
Ten Years of Relevance Score for Content Based Image Retrieval,ted with any feature representations. Reported results on different real-world datasets with a large number of classes, characterised by different degrees of semantic and visual intra- e inter-class variability, clearly show the current challenges faced by CBIR system in reaching acceptable retrieva
46#
發(fā)表于 2025-3-29 15:27:15 | 只看該作者
Personalized Blended E-learning System Using Knowledge Base Approach Based on Information Processins. The inference rules and knowledge based approach have been used to make the machine under stable. The features are extracted for each student learning behavior. The system decides about the learning contents for each cluster based upon the observed behavior of that particular cluster and also mon
47#
發(fā)表于 2025-3-29 18:10:13 | 只看該作者
48#
發(fā)表于 2025-3-29 21:16:33 | 只看該作者
Spam Review Detection Using Ensemble Machine Learning,ised learning technique is used for reviews filtering. The proposed algorithm considers the combination of multiple learning algorithms for better predictive performance. The obtained results clearly indicate that using only simple features like n-gram, Ensemble can boost efficiency of algorithm at
49#
發(fā)表于 2025-3-30 02:54:50 | 只看該作者
50#
發(fā)表于 2025-3-30 07:42:28 | 只看該作者
Renata Avros,Zeev Volkovich man sich mit der ?Hilfe“ von Anw?lten und den Arbeitsrichtern, sind oft mehrere Monatsgeh?lter an Abfindung f?llig..Ziel dieses Kapitels ist es, für diese Aufgabenstellung zu sensibilisieren, Anregungen zu geben und so diesem Risiko entgegenzuwirken. Es soll gezeigt werden, wie Sie mit einfachen We
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