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probabilities

  • Learning and Making Decisions When Costs and probabilities are Both Unknown

    Learning and Making Decisions When Costs and probabilities are Both Unknown

    標(biāo)簽: probabilities Decisions and Learning

    上傳時(shí)間: 2014-01-21

    上傳用戶:waitingfy

  • Blocking CoThe aim of this toolbox is to compute blocking probabilities in WDM networks. This work w

    Blocking CoThe aim of this toolbox is to compute blocking probabilities in WDM networks. This work was based on [1], [2], [3], [4] and user is referred to those papers for deeper study. Because WDM networks are circuit switched loss networks blocking may occur because of lack of resources.Computation in WDM Networks Toolbox

    標(biāo)簽: probabilities Blocking blocking networks

    上傳時(shí)間: 2014-01-14

    上傳用戶:iswlkje

  • This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a funct

    This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral can be evaluated over a user defined range by using: The composite trapezium, simpsons and gauss-legendre rules. This is useful for calculating accurate probabilities that one might see in statistical tables.

    標(biāo)簽: can entering command MATLAB

    上傳時(shí)間: 2016-11-07

    上傳用戶:偷心的海盜

  • The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesi

    The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

    標(biāo)簽: estimating parameters functions defining

    上傳時(shí)間: 2014-12-05

    上傳用戶:天誠(chéng)24

  • Transceiver and System Design

    T his book covers basic communications theory and practical imple- mentation of transmitters and receivers. In so doing, I focus on dig- ital modulation, demodulation methods, probabilities, detection of digital signals, and spread spectrum system design and analysis. This book was written for those who want a good understanding of the basic prin- ciples of digital wireless communication systems, including spread spec- trum techniques. This book also provides a good intuitive and practical approach to digital communications. Therefore it is a valuable resource for anyoneinvolvedinwirelesscommunicationsandtransceiverdesignfordig- ital communications. The reader will gain a broad understanding of basic communication principles for transceiver design, digital communications, and spread spectrum, along with examples of many types of commercial and military data link systems.

    標(biāo)簽: Transceiver System Design

    上傳時(shí)間: 2020-06-01

    上傳用戶:shancjb

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