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Probabilistic model

Xem 1-13 trên 13 kết quả Probabilistic model
  • As more Koreans invested in Vietnam, the number of foreign students in Korea increased due to the perception that studying in Korea would be beneficial for employment within Vietnam. Also, the ratio of international students entering graduate school is increasing. In this study, the researches related to Vietnam were investigated, focusing on the articles and papers of journals searched through the Vietnam keyword of the National Assembly Library. We also have examined research trends through Big Data Analysis.

    pdf8p sotritu 18-09-2021 6 1   Download

  • The research provides answers to the above questions with probabilistic approaches and tools to assess the impacts of risk factors on software project scheduling; proposing list of common risk factors and Bayesian Network model of these risk factors; and proposing advanced scheduling methods based on incorporating Bayesian Networks into popular scheduling techniques such as CPM, PERT or agile iteration scheduling etc. Bayesian Networks help quantify the factors, and hence help better manage them as well as enhancing the predictability of things happen in the project.

    pdf132p nguaconbaynhay12 18-06-2021 13 2   Download

  • The simulation results demonstrate the possibilistic particle forward-backward smoothing performs well and improves bearings-only tracking performance. Furthermore, possiblistic smoothing also demonstrates better performance than probabilistic smoothing in model-mismatched case.

    pdf78p gaocaolon12 13-06-2021 15 3   Download

  • The wind speeds of the simulated typhoons and the probable maximum wind speeds are estimated using Monte Carlo simulations, and wind hazard curves are derived as a function of the annual exceedance probability or return period. A logic tree decreases the epistemic uncertainty included in the wind intensity models and provides reasonably acceptable wind speeds.

    pdf11p minhxaminhyeu3 12-06-2019 6 0   Download

  • A conventional structure during bearing loads usually has cross-sectional areasoften changed, not always constant because of defectiveness or corrosiveness…Moreover, in the process of working, the loads acting on structures themselves change. Therefore, this paper offers solutions of a truss mentioned the change of cross-sectional areas and loads are modeled as two types of random variables.

    pdf6p blackwidow123 15-06-2018 30 1   Download

  • This paper introduces a probabilistic relational database model, called PRDB, for representing and querying uncertain information of objects in practice. To develop the PRDB model, first, we represent the relational attribute value as a pair of probabilistic distributions on a set for modeling the possibility that the attribute can take one of the values of the set with a probability belonging to the interval which is inferred from the pair of probabilistic distributions

    pdf17p dieutringuyen 07-06-2017 35 1   Download

  • This paper proposes a new probabilistic algorithm for solving multi-objective optimization problems - Probability-Driven Search Algorithm. The algorithm uses probabilities to control the process in search of Pareto optimal solutions. Especially, we use the absorbing Markov Chain to argue the convergence of the algorithm. Authors test this approach by implementing the algorithm on some benchmark multi-objective optimization problems, and find very good and stable results.

    pdf11p nganga_02 09-09-2015 43 2   Download

  • For distributed systems and networks, we often should assume that there are adversaries Everywhere in the network Adversary may: eavesdrop, manipulate, inject, alter, duplicate, reroute, etc… Adversary may control a large number of network nodes that are geographically separated Dolev-Yao Threat Model: A very powerful adversarial model that is widely accepted as the standard by which cryptographic protocols should be evaluated Eve, the adversary, can: Obtain any message passing through the network Act as a legitimate user of the network (i.e.

    ppt26p muathu_102 28-01-2013 57 1   Download

  • The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by applying probabilistic model on the link structure of Webs to evaluate the “importance” of Webs. In PageRank probabilistic model, the links and webs are uniform, so the rank score of webs are quite independent from their content. In practice, the researchers often hope that the web results can be ranked by their proposed topics. Moreover, when computer’s techniques solve given problems ineffectively, it’s necessary to do better research in theoretical problems. ...

    pdf12p tuanlocmuido 19-12-2012 37 2   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A Probabilistic Model for Face Transformation with Application to Person Identification

    pdf12p sting12 11-03-2012 50 7   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Adaptive Probabilistic Tracking Embedded in Smart Cameras for Distributed Surveillance in a 3D Model

    pdf17p sting11 09-03-2012 33 3   Download

  • Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigree?

    pdf10p toshiba18 08-11-2011 59 4   Download

  • Probabilistic inference is an attractive approach to uncertain reasoning and empirical learning in artificial intelligence. Computational difficulties arise, however, because probabilistic models with the necessary realism and exibility lead to complex distributions over high-dimensional spaces.

    pdf0p minhhuy 14-03-2009 203 37   Download

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