Truculent 发表于 2025-3-28 15:18:17
http://reply.papertrans.cn/16/1531/153007/153007_41.png表示向前 发表于 2025-3-28 22:26:27
http://reply.papertrans.cn/16/1531/153007/153007_42.pngencyclopedia 发表于 2025-3-29 02:39:45
http://reply.papertrans.cn/16/1531/153007/153007_43.pngFibrillation 发表于 2025-3-29 04:22:57
http://reply.papertrans.cn/16/1531/153007/153007_44.png可互换 发表于 2025-3-29 08:57:20
Design of a Conscious Machineately imitates, unconsciously initiates attention shifts, wonders what if, learns why, and improves from mistakes. We will specify the functional requirements for a few particularly important parts, as connectionist schemas. This poses several problems for established disciplines of AI, to produce c不可侵犯 发表于 2025-3-29 13:40:28
No Free Lunch versus Occam’s Razor in Supervised Learningrmation theory to argue the case for a universal bias allowing an algorithm to succeed in all interesting problem domains. Additionally, we give a new algorithm for off-line classification, inspired by Solomonoff induction, with good performance on all structured (compressible) problems under reasoninfelicitous 发表于 2025-3-29 16:45:07
http://reply.papertrans.cn/16/1531/153007/153007_47.png漫不经心 发表于 2025-3-29 21:05:21
http://reply.papertrans.cn/16/1531/153007/153007_48.png陪审团每个人 发表于 2025-3-30 00:14:50
Algorithmic Probability and Friends. Bayesian Prediction and Artificial IntelligencePapers from the Ray疯狂 发表于 2025-3-30 05:55:12
Inductive Inference and Partition Exchangeability in Classificationhe presence of infinite amounts of training data, a classifier based on partition exchangeability still continues to benefit from a joint prediction of labels for the whole population of test items. Some remarks about the relation of this work to generic convergence results in predictive inference a