habile 发表于 2025-3-28 17:43:12
Domain Adaptation with Regularized Optimal Transportnt increase in performance compared to the original transport solution. The proposed algorithm is computationally efficient and effective, as illustrated by its evaluation on a toy example and a challenging real life vision dataset, against which it achieves competitive results with respect to state-of-the-art methods.blackout 发表于 2025-3-28 20:02:57
http://reply.papertrans.cn/63/6205/620500/620500_42.png别名 发表于 2025-3-28 23:37:23
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http://reply.papertrans.cn/63/6205/620500/620500_44.pngamplitude 发表于 2025-3-29 08:47:48
http://reply.papertrans.cn/63/6205/620500/620500_45.png没有准备 发表于 2025-3-29 13:28:17
Concurrent Bandits and Cognitive Radio Networksh a collision avoidance mechanism. We analyze its regret with respect to the system-wide optimum and show that sub-linear regret can be obtained in this setting. Experiments show dramatic improvement compared to other algorithms for this setting.originality 发表于 2025-3-29 16:23:11
http://reply.papertrans.cn/63/6205/620500/620500_47.png失眠症 发表于 2025-3-29 20:25:16
https://doi.org/10.1007/978-3-662-44848-9artificial intelligence; association rules; clustering; collaborative filtering; content ranking; data anThyroiditis 发表于 2025-3-30 02:49:05
http://reply.papertrans.cn/63/6205/620500/620500_49.png生命 发表于 2025-3-30 06:03:53
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