Unsaturated-Fat
发表于 2025-3-27 00:03:02
ms of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but naturally, there is considerable overlap. We place an emphasis on the following “sore” point: there is a common misconception that logic is for discrete properties, whereas probability theory
figment
发表于 2025-3-27 02:23:55
http://reply.papertrans.cn/89/8824/882330/882330_32.png
射手座
发表于 2025-3-27 06:44:46
ms of three strands: logic versus learning, machine learning for logic, and logic for machine learning, but naturally, there is considerable overlap. We place an emphasis on the following “sore” point: there is a common misconception that logic is for discrete properties, whereas probability theory
绑架
发表于 2025-3-27 09:46:10
http://reply.papertrans.cn/89/8824/882330/882330_34.png
来这真柔软
发表于 2025-3-27 17:15:43
http://reply.papertrans.cn/89/8824/882330/882330_35.png
nurture
发表于 2025-3-27 17:58:54
e Kemeny rule [.]. In the general case, we provide a characterization result for the maximum likelihood ranking . and probabilities .. We propose an exact and a heuristic algorithm to compute both ranking . and probabilities .. Numerical tests are presented to assess the efficiency of these algorith