連接概率分佈 的英文怎麼說

中文拼音 [liánjiēgàilǜfēnbù]
連接概率分佈 英文
joint probability distribution
  • 連 : Ⅰ動詞1 （連接） link; join; connect 2 （連累） involve （in trouble）; implicate 3 [方言] （縫） ...
  • 接 : Ⅰ動詞1 （靠近;接觸） come into contact with; come close to 2 （連接; 使連接） connect; join; put ...
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 連接 : connect; fit together; link; marry; mate; joint; association trail; linkage; concatenate; concate...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  1. 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。
  2. Based on this kind of relations between the topological structures and the content distributions we study the web modelling, community identification and some related application problems in detail : first, after some existed characteristics of the web topology are verified, some new characteristics are discovered : the high clustering property in micro - topology ( high average gathering coefficient ), the obvious mapping relation between the topological struture and the content in micro - level 、 linear irrelevant between the degree distribution of network nodes and the relative degree distribution of contents etc. then after analysis the topology of the complex network and the network modeling, the muti - scale determinism is proposed, especially for the information network a web evolvement model ( prcp model ) that fused the node authority and the node correlation is proposed. the model deduction, evolving learning verification and large scale experiment proof indicate that the model can explain the micro - topology centralizing phenomena, can imitate the mapping relation between the network connecting distribution and network content relative distribution and also can predict the mapping relation between the topology clustering and content clustering

    本文在詳細觀察了web網路的拓撲結構特徵以及拓撲結構與內容分佈相互關系的基礎上，以信息網路的物理連接拓撲結構與節點內容相關度分佈之間的相互關系為主線，從網路特徵、網路建模、社區分析及相關應用方面問題進行了深入細致地探討:首先在驗證了前人提出的web網路拓撲結構特徵基礎上，進一步發現了信息網路所具有的一些新特徵: 1 ）網路微觀顆粒度的拓撲結構聚團與內容聚團存在明顯的映射關系，具體包括節點之間的物理連邊概率與節點之間的內容相關度成指數比例關系、節點形成三角形拓撲結構的概率與節點內容相關緊密程度之間同樣具有一種指數比例關系; 2 ）網路節點連接度整體分佈與節點內容相關度整體分佈是線性無關的; 3 ）網路微觀拓撲結構中的存在很強的集聚性（平均聚團系數很高） 。
  3. In the sense of mean squares, maximum likelihood estimator, best linear unbiased estimator, taest linear invariant estimator, and good linear estimator are contracted. fourth, proposed and researched the reliability analysis method under the zero - failure data and doof data. based on the part beta distribution as the prior distribution of failure probability p, = p ( t < r, }, hierarchical bayesian estimate method was discussed, obtain the reliability analysis method under the zero - failure data and the doof data

    第四，提出並研究了無失效數據類型和doof數據類型下電連接器的可靠性分析方法，提出了以不完全beta分佈為一級先驗分佈，超參數為[ 0 ， 1 ]上的均勻分佈作為失效概率先驗分佈的多層bayes方法，結合加權最小二乘法解決了產品在無失效數據和doof數據下的可靠性分析問題。
  4. The application of statistics function of excel may simplify complicated binomial distribution probability counting and normal distribution probability counting, and at the sme time, many statistics functions can be connected together with some counting signs to make statistics analysis process which can be applied to much more complicated statistics counting and analysis

    摘要利用excel的統計函數可以使復雜的二項分佈概率計算和正態分佈概率計算變得簡單，同時，可以利用計算符號把多個統計函數連接起來，製成統計分析程序，用於比較大的復雜的統計計算和分析。
  5. In designing or selecting a topology for a parallel processing system, one fundamental consideration is system - level fault tolerance. in order to improve the fault tolerance, the paper analyses from the two following sides : one is by adding the less links related to the original networks, modifying the topology of the original one, we get higher fault tolerance of the new network ; the other is under the same topology network, ignoring the likelihood of one processor and ail its neighbors failing at the same time, or considering the distribution of the faulty nodes, that is studying the fault tolerance under the conditional connectivity or cluster - fault - lolerance

    本文以提高網路的容錯度為目的，從兩個方面分析互連網路的容錯性質：一是在原網路基礎上增加少量連接，使新型網路具有更高的連通度（容錯度為連通度減1 ） ；二是在給定互連網路拓撲結構下，考慮故障處理器發生的概率和故障處理器的分佈狀況，在其中的某一具體條件下，即在條件連通度和簇容錯下分析互連網路的容錯性能，從而得到更高的網路容錯度。
  6. In the paper, i employ the theory of finite element of steel frames and monte carlo method, describe the production method of the random variable of the average - distribution n ( 0, 1 ) and write program with fortran 90. the random numbers is tested in many ways for its quality ; the result is good. they can produce random with all kinds of probability distribution

    本文以半剛性連接的鋼框架的有限元理論和蒙特卡洛隨機模擬理論為基礎，描述了均勻分佈的n （ 0 ， 1 ）隨機數的產生數學分法，並編制了計算機程序，對由軟體產生的均勻分佈序列的隨機數性能進行各種檢驗，檢驗成果是良好的，可用於產生各種概率分佈的隨機變量。
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