Condescending 发表于 2025-3-28 14:36:37
http://reply.papertrans.cn/17/1626/162584/162584_41.png不如屎壳郎 发表于 2025-3-28 18:51:17
http://reply.papertrans.cn/17/1626/162584/162584_42.png冰雹 发表于 2025-3-29 00:38:13
Co-GA: A Bio-inspired Semi-supervised Framework for Fake News Detection on Scarcely Labeled Data,ake news detection methodology. One of the key challenges faced by researchers is the lack of sufficient labeled data making semi-supervised learning increasingly important for social media data. Non-latent content features differ in fake and real news but at the same time suffer from the high-dimenFLAT 发表于 2025-3-29 03:56:03
,Kernel Methods for Conformal Prediction to Detect Botnets,s a critical task in cybersecurity, and machine learning techniques have been widely employed for this purpose. In this paper, we present a novel approach for botnet detection based on kernel methods and conformal prediction. Our method leverages the power of kernel functions to capture complex pattAIL 发表于 2025-3-29 07:19:41
http://reply.papertrans.cn/17/1626/162584/162584_45.pngHyperlipidemia 发表于 2025-3-29 14:03:01
http://reply.papertrans.cn/17/1626/162584/162584_46.pngnettle 发表于 2025-3-29 18:24:58
http://reply.papertrans.cn/17/1626/162584/162584_47.png时代错误 发表于 2025-3-29 21:39:26
http://reply.papertrans.cn/17/1626/162584/162584_48.png神刊 发表于 2025-3-30 02:03:12
http://reply.papertrans.cn/17/1626/162584/162584_49.pngparallelism 发表于 2025-3-30 04:11:15
Predicting of Credit Risk Using Machine Learning Algorithms, more rigid forecasting models with strong mapping abilities, credit risk prediction has become challenging for the banking industry. Therefore, this paper attempts to predict commercial banks’ credit risk (CR) by using various machine learning algorithms. Machine learning algorithms, namely linear