打包 发表于 2025-3-23 10:44:05
Feature Selection Based on Fuzzy Conditional Distinction Degreeon entropy exploit the correlations between features and labels, lacking of taking into account the relevance between features. In this paper, we propose a new index for feature selection, named fuzzy conditional distinction degree (FDD), based on fuzzy similarity relation by combining feature correfacetious 发表于 2025-3-23 14:12:34
Multi-label Feature Selection Method Based on Multivariate Mutual Information and Particle Swarm Optputational burdens, improve classification performance and enhance model interpretability, in multi-label learning. Mutual information (MI) between two random variables is widely used to describe feature-label relevance and feature-feature redundancy. Furthermore, multivariate mutual information (MMperiodontitis 发表于 2025-3-23 21:48:39
http://reply.papertrans.cn/67/6637/663607/663607_13.pngExplicate 发表于 2025-3-23 23:17:46
http://reply.papertrans.cn/67/6637/663607/663607_14.pngALTER 发表于 2025-3-24 03:32:17
http://reply.papertrans.cn/67/6637/663607/663607_15.pngGrating 发表于 2025-3-24 09:22:22
http://reply.papertrans.cn/67/6637/663607/663607_16.png细胞学 发表于 2025-3-24 14:22:58
http://reply.papertrans.cn/67/6637/663607/663607_17.png美食家 发表于 2025-3-24 18:32:42
http://reply.papertrans.cn/67/6637/663607/663607_18.pngcondemn 发表于 2025-3-24 19:22:52
Adaptive Fuzzy Clustering Algorithm with Local Information and Markov Random Field for Image Segment obtain satisfactory performance for image segmentation under intense noise condition. This paper presents a novel local spatial information based fuzzy c-means clustering and Markov random field method for image segmentation. In the method, a new dissimilarity function is proposed by using the prio歌剧等 发表于 2025-3-25 02:35:20
http://reply.papertrans.cn/67/6637/663607/663607_20.png