affinity 发表于 2025-3-26 21:28:11
,Einige Problembeispiele und Fälle,ations, uncertainty may also appear in attribute values, we propose to develop in this paper another version of decision trees in a belief function context to handle the case of uncertainty present only in attribute values for both construction and classification phases.Libido 发表于 2025-3-27 03:59:20
Frank Edler,Michael Soden,René Hankammer cluster analysis of the sets of .-valued formulas. Various clustering algorithms are performed and obtained results are analyzed. Established methods can be further employed for experts propositions analysis, clustering problems and pattern recognition.ineluctable 发表于 2025-3-27 07:28:35
http://reply.papertrans.cn/17/1626/162576/162576_33.png依法逮捕 发表于 2025-3-27 09:54:48
http://reply.papertrans.cn/17/1626/162576/162576_34.png旧石器时代 发表于 2025-3-27 16:42:07
Der produktive Charakter des Fehlers,g the classification phase the selected features are used along with their weights. The experiment results on 12 benchmark databases have shown the advantages of the proposed method in comparison with traditional ReliefF.callous 发表于 2025-3-27 19:48:54
http://reply.papertrans.cn/17/1626/162576/162576_36.png感染 发表于 2025-3-28 01:10:27
Frank Edler,Michael Soden,René Hankammerare extracted from the values of these features, by employing the Apriori algorithm. It determines a new and promising statistical analysis in this context, revealing the dependence of response time to CAPTCHA to the co-occurrence of the feature values and the strength of these dependencies by rule support, confidence and lift analysis.奖牌 发表于 2025-3-28 04:58:13
http://reply.papertrans.cn/17/1626/162576/162576_38.png凝视 发表于 2025-3-28 06:49:41
http://reply.papertrans.cn/17/1626/162576/162576_39.pngLEER 发表于 2025-3-28 13:06:50
,Modelle für Übertragungskanäle,ated (capitalization, punctuation, pronoun use, sentiment polarity), and semantic (embeddings and DBPedia data) features. Our experiments on three different testsets show that our model can distinguish credible from fake news with very high accuracy.