monte carlo sampling distribution 中文意思是什麼
monte carlo sampling distribution
解釋
蒙特卡羅抽樣分佈- monte : n. （一種西班牙式）紙牌戲。 three-card monte （起源於墨西哥的）三張牌戲。n. 蒙提〈男子名, Montague 的昵稱〉。
- carlo : 卡爾羅
- sampling : n. 1. 取樣（品），取標（本）〈指行動或程序〉。2. 樣品，標本。3. 剽竊拼湊歌曲。
- distribution : n 1 分配，分發，配給；分配裝置[系統]；配給品；配給量；【經濟學】配給方法，配給過程；分紅；【法律...
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Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. when comes to bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one
蒙特卡羅是一種採用統計抽樣理論近似求解數學或物理問題的方法，它在用於解決貝葉斯分類時，首先根據已知的先驗概率獲得各個類標號未知類的條件概率分佈，然後利用某種抽樣器，分別得到滿足這些條件分佈的隨機數據，最後統計這些隨機數據，就可以得到各個類標號未知類的后驗概率分佈。 -
The pheromone - based parameterized probabilistic model for the aco algorithm is presented as the solution construction graph that the combinatorial optimization problem can be mapped on. based on the solution construction graph, the unified framework of the aco algorithm is presented. an iterative update procedure of the solutions distribution in the problem ' s probabilistic model is proposed, that will converge to the optimal solutions with probability one, then the minimum cross - entropy pheromone update rule is proposed to approximate the iterative update procedure by minimizing the cross - entropy distance and monte - carlo sampling
基於解空間參數化概率分佈模型，首先提出了一個以概率1收斂于最優解的解空間概率分佈的迭代更新過程，然後提出了通過最小化不同分佈間的交互熵距離以及蒙特卡洛采樣來逼近此迭代過程的最小交互熵信息素更新規則，接著分別給出了弧模式以及結點模式信息素分佈模型下的最小交互熵等式。
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