class probability 中文意思是什麼

class probability 解釋
類別概率
  • class : n 1 階級;社會等級。2 學級；班級，年級，級，班；組；（有組織的）講習班；〈美國〉同年畢業班；【軍事...
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  1. Following the research route of mend with study and development with creation, give the definition of risk and the methods of risk identifying, divide the risk attitude into risk loving, risk neutralism and risk avoiding, point out the importance of enhancing the risk consciousness for lightning hazard, and summarize the mechanisms of lightning hazard the theories and methods of risk assessment for lightning hazard. provide a set of risk assessment parameters for lightning hazard, which includes lightning times n, hazard probability p, hazard loss d, hazard risk r and protection efficiency e, and give the definition, decisive factor, value method and value scope of each parameter. establish a risk assessment model for lightning hazard which includes lightning hazard base module, lightning hazard probability module, lightning hazard loss module, lightning hazard accepted risk module, lightning protection cost module, correcting coefficient module, lightning hazard risk module, and lightning protection class and efficiency module

    遵循借鑒改造和發展創新的研究思路，給出了風險的定義和風險識別的方法，將風險態度分為風險喜好型、風險中庸型和風險逃避型，指出了提高雷電災害風險意識的重要性，總結了雷電災害的作用機制和雷電災害風險評估的理論與方法；提供了包括雷擊次數n 、雷災概率p 、雷災損失d 、雷災風險r和雷電防護級別與防護效率e等5類基本參數的雷電災害風險評估參數體系，並給出了各個參數的定義、參數的決定因素和取值方法以及取值范圍；設計了包括雷電災害基礎模塊、雷電災害概率評估模塊、雷電災害損失評估模塊、雷電災害允許風險評估模塊、雷電防護成本評估模塊、校正系數模塊、雷電災害風險評估模塊、雷電防護級別與效率分析模塊等8個模塊的雷電災害風險評估模型，評估模型以iec61662的評估模型為基本參考，以雷災損失d為中心，把雷災風險劃分為經濟雷災風險r _ e和人身雷災風險r _ l ，並對r _ e和r _ l分開單獨處理。
  2. This paper adopts the word class based segmentation probability model. this model classifies words into many word classes and brings these classes into a unified frame of probability model

    文本採用了基於詞類的分詞概率模型，此模型把詞歸為若干類別並且把這些類別納入到一個統一的概率模型框架下。
  3. A qos - support protocol, m - dcf, and its schedule model are proposed. by providing different contention window for different classes, the higher class frames the higher access probability. the simulation proves that m - dcf has better performance than dcf protocol on system throughput, discard ratio, frame discard ratio of higher classes, average access delay of different classes

    提出了為不同等級幀提供不同競爭窗口的改進型dcf ： m - dcf協議，並給出了m - dcf的調度模型，通過採用不同的競爭窗口，為不同n西安電子科技大學博士學位論文:無線局域網和ip服務質量關鍵技術的研究的應用提供了不同的接入概率，保證了qos ;模擬結果證明了m一dcf在系統吞吐率、丟包率、高等級業務丟包率、不同等級業務的平均接入時延等方面都優于dcf協議。
  4. Admissibility of strict ps sampling scheme in class of unequal probability sampling scheme without replacement

    抽樣方案在不放回不等概率抽樣方案中的可容許性
  5. The strong deviation theorems are new type theorems established by using the notion of the likelihood ratio. professor liu wen frist applied an analysis method in solving a class of strong deviation theorems for a sequense of random variables. later professor liu wen studied the shannon - mcmillan theorem in information theorems [ 2 ] - [ 8 ] and deviation theorems of non - negative continuous random variables [ 10 ] - [ 11 ] by using the analytic technique and obtained some strong deviation theorems. the chapter 2 of the paper studied a class of strong deviation theorems of function of two variables of information sources and obtained a further study of shannon - mcmillan theorem of markov information sourses by definning the using concept of entropy density divergence. the chapter 3 of the paper studied a class of strong deviation theorems of non - negative continuous random variables by using tool of transformation of laplace. information theory, as a branch of applied probability theory, becomes more and more important in appling

    劉文教授在解決大數定律中，用首創的分析方法得到一類隨機變量序列的強偏差定理。后來，劉文教授把分析方法用於信息論中shannon - mcmillan定理和連續型隨機變量的偏差定理的研究，得到了若干強偏差定理。本文的第二章是引進任意信源相對熵密度偏差的概念，並利用這個概念研究任意信源二元函數的一類強偏差定理，得到了馬氏信源shannon - mcmillan定理的一個推廣。
  6. In chapter 1, we briefly reviewed the risk theory and its development. and the significance about this paper was expressed. in chapter 2, we introduced classical risk model. in which, making this risk process into a strong markovian process is the preparation of deriving the main results. chapter 3 is the main body of the paper, we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time. the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time. we also take advantage of change of measure idea from it

    第二章介紹了經典風險模型，其中用逐段決定馬爾可夫過程理論及補充變量技巧，使一類風險模型的盈餘過程成為齊次強馬爾可夫過程。第三章作為本文的主體部分，在索賠到達間隔服從虧時幾何分佈的連續時間風險模型中，索賠額分佈為一般分佈，它的破產概率可以利用pdmp中的廣義生成運算元得出鞅，通過調節系數的選擇以及在相應測度下的測度變換，使得破產概率的一般解可以表示出來。
  7. In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient

    本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。
  8. By means of simple properties of probability, a class of algebraic inequalities is proved and some known results are consolidated

    摘要僅藉助于概率的簡單性質簡潔地證明了一類代數不等式，並加強了某些已知結果。
  9. Using the theories of probability, algebra and number theory comprehensively, we investigate a class of boolean functions with three - valued walsh spectrum in the first part of this dissertation : the properties of the extended semi - bent functions, which are constructed from any two bent functions, are studied, followed by the structure characteristics of the boolean functions satisfying propagation criterion with respect to all but two vectors ; the definition and cryptographic properties of k - order quasi - bent functions are proposed whose walsh spectrum takes on only three values. some sufficient and necessary conditions are offered to decide whether a boolean function is a k - order quasi - bent function ; a special method is presented to construct the k - order quasi - bent functions, whose cryptographic properties are explored by the matrix method, which is different from the method of walsh spectrum and that of autocorrelation of boolean functions ; the application of this kind of boolean functions in the fields of stream cipher, communications and block ciphers is discussed, which shows the great importance of the fc - order quasi - bent functions ; some methodology are proposed to construct the k - order quasi - bent functions, including the complete construction by using the characteristic matrices of boolean functions, and the recursive method by two known k - order quasi - bent functions we further extend our investigation to the ring zp, where p is a prime, and the similar results are presented as far as the p - valued quasi - generalized - bent functions are considered

    本文首先綜合運用概率論、代數學、數論等基礎學科的理論知識，並以頻譜理論作為主要研究工具，對一類譜值分佈相對均勻的函數? ?廣半bent函數、 k階擬bent函數和p值k階擬廣義bent函數進行了系統、深入的研究，給出了廣半bent函數定義，並探討了廣半bent函數的密碼學性質；給出了k階擬bent函數和p值k階擬廣義bent函數的定義及等價判別條件；討論了k階擬bent函數和p值k階擬廣義bent函數與部分bent函數和p值廣義部分bent函數的關系，探討了它們的密碼學性質；給出了k階擬bent函數和p值k階擬廣義bent函數的典型構造方法，並將對k階擬bent函數的密碼性質的研究轉化到對一類特殊的矩陣的研究上；利用布爾函數的特徵矩陣原則上給出了k階擬bent函數的一種完全構造方法，還給出了從已有的p值k階擬廣義bent函數出發，遞歸構造變元個數更多的p值k階擬廣義bent函數的方法；初步探討了k階擬bent函數在序列密碼、分組密碼以及通信中的應用；給出了一類布爾函數walsh譜的分解式，並利用這類布爾函數的walsh譜分解式給出了一類近似穩定的布爾函數的構造，特殊情形下為k階擬bent函數；利用代數數論的知識考察了p值k階擬廣義bent函數的譜特徵，並給出了k階擬廣義bent函數與所有仿射函數的符合率特徵等等。
  10. Many experiences show that lots of practical classification cannot give the precise result that one object belong to one class, while only give the probability of one object belong to one class. so we can apply the fuzzy knowledge process technology to the field of text categorization, and we can get more precise classification results by using appropriate fuzzy

    並且實際經驗告訴我們，很多實際分類問題往往不好精確地確定某個對象屬于某個類，而只能給出某個對象屬于某個類的可能性有多大，因此將模糊知識處理的理論技術應用到文本分類的領域中，利用適當的模糊反而可以達到更精確的分類結果。
  11. The closed property of conditional probability for - distribution class

    分佈類的條件概率封閉性
  12. Using conception of relative rate of change, a definition of probability density function is given based on the class of differentiable monotone function which is bounded on domain of definition, calculation and properties of the mathematical expectation are discussed

    摘要對一類單調可微的有界函數，利用相對變化率的概念，定義了一種由該函數生成的概率密度函數。
  13. In the research of the algorithms and theory of temporal difference learning, a new class of multi - step learning prediction algorithms based on linear function approximators and recursive least squares methods is proposed, which are called the rls - td ( t ) learning algorithm. the convergence with probability one of the rls - td ( t ) algorithm is proved for ergodic markov chains, and the conditions for convergence are analyzed

    在時域差值學習（ temporaldifferencelearning ）學習演算法和理論方面，首次提出了一種基於線性值函數逼近的多步遞推最小二乘td （ ） （ rls - td （ ） ）學習演算法，並分析和證明了該演算法在求解遍歷markov鏈學習預測問題中的收斂條件和一致收斂性。
  14. For each point x in the feature space, the proposed algorithm calculates the probabilities that x belongs to each individual classes using indicator kriging, and then assign x to the class with highest probability

    研究中我們將各種類別在特徵空間之分佈視為一個指標變數之隨機變域，並發展一個以指標變域空間推估為基礎之新的分類理論。
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