enormous 发表于 2025-3-25 03:31:01
http://reply.papertrans.cn/16/1513/151229/151229_21.png环形 发表于 2025-3-25 08:26:02
http://reply.papertrans.cn/16/1513/151229/151229_22.pngParallel 发表于 2025-3-25 14:48:13
https://doi.org/10.1057/9780230509818We propose a neural hidden Markov models to compute the transition probabilities of higher-order hidden Markov model by a neural network and reduce the cost of computation. It is applied for time-aware recommender systems to show the benefits from the hybrid of combining neural network and hidden Ma哑剧 发表于 2025-3-25 18:46:15
Reports from Contemporary Businesserving multi-agent planning, where multiple agents plan for a common goal but with private information they do not want to disclose. Heuristic search is the dominant technique used in MAP and therefore it is not surprising that a significant attention has been paid to distributed heuristic computatiGanglion-Cyst 发表于 2025-3-25 22:11:46
http://reply.papertrans.cn/16/1513/151229/151229_25.png敏捷 发表于 2025-3-26 02:12:50
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http://reply.papertrans.cn/16/1513/151229/151229_27.pngentail 发表于 2025-3-26 10:30:20
https://doi.org/10.1057/9780230509818ded belief. Based on Public Announcement Logic, we define our logic, Logic Of Narrow-minded belief (LON), as that which includes such belief. Semantics for LON is provided by the Kripke-style semantics, and using this semantics, we formally analyze the mental state of the hero of Shakespeare’s trage谦虚的人 发表于 2025-3-26 12:59:58
https://doi.org/10.1057/9780230509818nts and to improve the productivity in shield tunneling, a widely used tunnel construction method. This study considers the amount of soil excavated along a tunnel composed of the segments as an objective, and the deviation limit as constraints. In this problem, a feasible solution can be easily fouforecast 发表于 2025-3-26 20:51:07
Culture and Power in England, 1585–1685mputational expensive as it requires to solve an NP-hard shunting planning problem. Currently, NS uses a shunt plan simulator where a local search heuristic is implemented to determine such capacities..In this paper, we study how to combine machine learning with local search in order to speed up fin