markov sequence 中文意思是什麼
markov sequence
解釋
馬爾科夫序列-
At first, the text is segmented to words and converted to a sequence of part - of - speech tags ; then based on the pos tags sequence parameters and phrase - break distance information from training, markov model is used to get the most likely phrase break sequence
首先，文本進行分詞，並轉換為一列由詞性標記所組成的序列；然後使用馬爾可夫模型，利用人工標注數據庫訓練詞語連接處詞性標注序列的概率分佈和連接類型序列的距離信息，得到輸入的詞性標記序列對應的具有最大似然概率的連接類型序列，最後利用后處理規則進行適當的糾錯。 -
This thesis focuses on techniques of dynamic fault tree in system reliability modeling and its qualitative and quantitative analysis. it studies bdd solution for static sub trees 、 markov chain solution for dynamic sub tree briefly and the modularization of dynamic fault tree ; presents the algorithm for top event occurrence rate of dynamic fault tree based on weibull distribution. then this thesis presents a new approach to solve top event occurrence rate and a new generation algorithm of minimal cut sequence of dynamic fault tree that deviate from markov model completely
本文著眼于動態故障樹在系統可靠性建模及定性定量分析中的技術，研究了基於bdd的靜態子樹分析方法、基於馬爾可夫模型的動態子樹分析方法以及動態故障樹模塊化方法，並提出了基於威布爾分佈的動態故障樹頂事件發生概率計算方法;提出了一種完全脫離馬爾可夫模型的求解動態故障樹頂事件發生概率的方法和一種最小順序割集的生成方法。 -
In this thesis, an algorithm based on multiple features for recognition of escherichia coli promoter was proposed. firstly, word frequency method was utilized to extract the content ’ s information of a given sequence, and position weight matrix and hidden markov model were applied to analyze the information on structure, and then this information was input into a classifier
本文提出了一種基於多特徵的大腸桿菌啟動子判別演算法，即通過詞頻分析獲得序列的組成特徵，利用位置權重矩陣（ pwm ）和隱馬爾科夫模型（ hmm ）獲得序列的結構特徵，然後輸入到一個分類器中進行分類。 -
This paper presents the conversion from dynamic logic gate to markov chain, the solution of dynamic subtree top event failure probability and the method of obtaining the failure mode of subsystem using markov model, that is sequence cutsets of the dynamic subtree. the typical approach to importance analysis of component is impractical for large systems in markov model, so this paper also provides a simple and intuitionistic graph solution based on markov chain
論文研究了動態邏輯門向馬爾可夫鏈的轉化方法，利用馬爾可夫鏈法求解動態子樹頂事件概率，以及通過馬爾可夫狀態轉移圖直接找齣子系統的故障模式和薄弱環節，即得到動態子樹的順序割集。 -
Pfam is a large collection of multiple sequence alignments and hidden markov models covering many common protein families
為一包含了許多多重序列校準，以及「隱藏式馬爾科夫模型」的巨大集合，裏面涵蓋了許多常見的蛋白質家族。 -
The theory of markov chains was fruitfully applied to estimating the expected mine - sweeper casualties of the two forms of the progressive sequence sweeping technique
為了比較這2種清掃模式下掃雷艇期望損失的大小，應用馬爾可夫過程理論對這兩種清掃模式的掃雷艦艇期望損失進行了一定條件下的分析。 -
Successfully applied markov process to analyze the change of vegetation cover, and point out the change of vegetation transition is not a single markov process but a multi - markov process and also is a long term process. 9. the writer proved that under the 8km resolution, the markov process ca n ' t estimate the trend of land use by two term - data no matter it ' s sequence or at intervals. through analyzing the change of each vegetation area, the change of spatial data and the markov process, the main conclusions are : in plain of china western arid land, the desert area decreased and the oasis area increased, most of the increase represents extension of the traditional oasis
利用回歸方程對今後的植被變化情況進行了模擬預測，其結果具有一定的參考價值；南京氣象學院博士學位論文8 .將馬爾科夫過程成功地應用於中國西部干早區的植被變化分析當中，指出，植被的轉移變化不是一重馬爾科夫過程，而是一個多重的馬爾科夫過程;而且是一個步長較長的馬爾科夫過程; 9 .證明在8klll尺度下，馬爾科夫過程不能使用兩期的土地利用變化來預測土地利用的發展趨勢，無論這兩期的時間是連續的還是有一定時間間隔的;通過各類植被的面積變化、空間變化及馬爾科夫過程分析認為:中國西部乾旱區在平原區整體上荒漠面積減少，綠洲面積增加，綠洲的面積擴大主要表現在原有綠洲的擴大。 -
Markov chain is suitable for short - term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium - term forecast of few capacity sample data sequence
馬爾柯夫鏈適用於大樣本數據序列的短期預測，而灰色系統預測方法適用於小樣本數據的中期預測。 -
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。 -
( 2 ) stochastic theory and other correlative theories are used to analyze iga, and the immune extend population sequence formed by iga is proved to be an aperiodic irreducible ergodic markov chain. next, the global convergence of iga is proved
2 、利用隨機過程理論及相關理論對免疫遺傳演算法進行分析，證明了由免疫遺傳摘要演算法形成的擴展免疫種群序列的強馬爾可夫性，同時還進行了不可約性、非周期性、遍歷性等性質的研究。 -
What this difference causes in maths is that the iterative sequence of the common nonlinear time series model develops one markov chain on general state space or multiple markov chain, while the iterative sequence of nonlinear time series models 1, 2, 3 in random environment have not possessed such better nature
這個不同之處在數學上引起的後果是：一般非線性時間序列模型的迭代序列形成一個一般狀態馬爾可夫鏈或多重馬爾可夫鏈；而隨機環境下的非線性時間序列模型1 ， 2和3的迭代序列，卻無此良好的性質。 -
Generativ models such as hidden markov models and gaussian mixture models have been proved to be an efficient way for statistically modeling sequence signals. and the support vector machines seem to be a promising candidate to perform the classification task
在說話人識別問題上，雖然原有的馬爾可夫模型和高斯混合模型具有良好的時間規整能力，但是，受極大似然準則的限制，他們的類別區分能力較弱。 -
By using this method, we deduced the probability generating function of the binomial distribution in the markov dependent sequence
利用這一方法推導了在馬氏相關序列下的二項分佈的概率函數。
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