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  2. EM algorithm and GMM model - Wikipedia

    en.wikipedia.org/wiki/EM_Algorithm_And_GMM_Model

    The EM algorithm consists of two steps: the E-step and the M-step. Firstly, the model parameters and the () can be randomly initialized. In the E-step, the algorithm tries to guess the value of () based on the parameters, while in the M-step, the algorithm updates the value of the model parameters based on the guess of () of the E-step.

  3. Generalized method of moments - Wikipedia

    en.wikipedia.org/wiki/Generalized_method_of_moments

    In econometrics and statistics, the generalized method of moments (GMM) is a generic method for estimating parameters in statistical models.Usually it is applied in the context of semiparametric models, where the parameter of interest is finite-dimensional, whereas the full shape of the data's distribution function may not be known, and therefore maximum likelihood estimation is not applicable.

  4. Arellano–Bond estimator - Wikipedia

    en.wikipedia.org/wiki/Arellano–Bond_estimator

    In econometrics, the Arellano–Bond estimator is a generalized method of moments estimator used to estimate dynamic models of panel data.It was proposed in 1991 by Manuel Arellano and Stephen Bond, [1] based on the earlier work by Alok Bhargava and John Denis Sargan in 1983, for addressing certain endogeneity problems. [2]

  5. GMM - Wikipedia

    en.wikipedia.org/wiki/GMM

    GMM may refer to: Generalized method of moments, an econometric method; GMM Grammy, a Thai entertainment company; Gaussian mixture model, a statistical probabilistic model; Google Map Maker, a public cartography project; GMM, IATA code for Gamboma Airport in the Republic of the Congo

  6. Capella (engineering) - Wikipedia

    en.wikipedia.org/wiki/Capella_(engineering)

    Capella was created by Thales in 2007, and has been under continuous development and evolution since then. The objective is to contribute to the transformation of engineering, providing an engineering environment which approach is based on models rather than focused on documents, piloted by a process, and offering, by construction, ways to ensure effective co-engineering.

  7. Graph cuts in computer vision - Wikipedia

    en.wikipedia.org/wiki/Graph_cuts_in_computer_vision

    The foundational theory of graph cuts was first applied in computer vision in the seminal paper by Greig, Porteous and Seheult [3] of Durham University.Allan Seheult and Bruce Porteous were members of Durham's lauded statistics group of the time, led by Julian Besag and Peter Green, with the optimisation expert Margaret Greig notable as the first ever female member of staff of the Durham ...

  8. What does Big Tech hope to gain from warming up to Trump? - AOL

    www.aol.com/does-big-tech-hope-gain-191423618.html

    In a string of visits, dinners, calls, monetary pledges and social media overtures, big tech chiefs — including Apple's Tim Cook, OpenAI’s Sam Altman, Meta’s Mark Zuckerberg, SoftBank's ...

  9. Open-system environment reference model - Wikipedia

    en.wikipedia.org/wiki/Open-system_environment...

    The development of the open-system environment reference model started early 1990s by the NIST as refinement of the POSIX (Portable Operating System Interface) standard. POSIX is a standard for maintaining compatibility between operating systems, and addresses interoperation for communications, computing, and entertainment infrastructure.