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Showing 1 to 5 of 5 for “"Temporal point process"”.

  1. Predicting text features of social temporal point process

    … the problem of predicting the text feature of temporal point processes. Temporal point process is common in our daily life - for example, the time sequence of multivariate discussions in online forums with features like text and user profile, and the coordinate sequence of human joint position …

    udel Repository record for Predicting text features of social temporal point process (opens in a new tab)

  2. First- and Second-Order Properties of Spatiotemporal Point Patterns in the Space-Time and Frequency Domains

    Point processes are common in many physical applications found in engineering and biology. These processes can be observed in one-dimension as a time series or two-dimensions as a spatial point pattern with extensive amounts of literature devoted to their analyses. However, if the observed process

    vt Repository record for First- and Second-Order Properties of Spatiotemporal Point Patterns in the Space-Time and Frequency Domains (opens in a new tab)

  3. Strategic dynamic vehicle routing with spatio-temporal dependent demands

    … generated over time by an exogenous stochastic process. This thesis is concerned with the study of dynamic vehicle routing problems where demands are strategically placed in the space by an agent with selfish interests and physical constraints. In particular, we focus on the following problem: a …

    mit Repository record for Strategic dynamic vehicle routing with spatio-temporal dependent demands (opens in a new tab)

  4. Stochastic Point Process Modeling for Engineering Applications

    <p>Hawkes model or self-exciting point process model is a branching point process model. The model classifies the dataset of discrete events to background and offspring events. It has been used to study interconnected events in many fields, but relatively little work exists in applying these …

    embry-riddle Repository record for Stochastic Point Process Modeling for Engineering Applications (opens in a new tab)

  5. On Modeling Dependency Dynamics of Sequential Data: Methods and Applications

    … cyber-attack detection, recommender system, point-of-interest (POI) prediction, and citation forecasting. This dissertation focuses on developing the methods for sequential data-driven applications and evolutionary dynamics characterization for various topics such as transit service …

    vt Repository record for On Modeling Dependency Dynamics of Sequential Data: Methods and Applications (opens in a new tab)