markov model of learning 中文意思是什麼

markov model of learning 解釋
馬爾柯夫學習模型
  • markov : 馬爾科夫
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  • of : OF ＝Old French 古法語。
  • learning : n 學，學習；學問，學識；專門知識。 good at learning 善於學習。 a man of learning 學者。 New learn...
  1. Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved

    在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。
  2. Based on the mechanism of computer immune system, this paper presents a new anomaly detection technique to detect intrusion into computer system. in this technique, a markov chain model is used to represent a temporal profile of normal behavior of a process. the markov chain model of normal profile can be created by learning the historic data of the sequence of system calls produced by privileged processes running on unix system

    傳統的入侵檢測技術，依照所基於的原則不同，通常分為誤用入侵檢測與異常入侵檢測，本文在入侵研究中所採用的計算機系統免疫思想的基礎上，提出了一種新的異常入侵檢測技術，通過對（ unix系統）特權進程系統調用序列的歷史數據的學習，用馬爾可夫鏈模型來建立特權進程的正常時態行為輪廓。
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