منابع مشابه
Temporal Flows in Temporal Networks
We introduce temporal flows on temporal networks [36, 42], i.e., networks the links of which exist only at certain moments of time. Such networks are ephemeral in the sense that no link exists after some time. Our flow model is new and differs from the “flows over time” model, also called “dynamic flows” in the literature. We show that the problem of finding the maximum amount of flow that can ...
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Many real-world networks are representations of dynamic systems with interactions that change over time, often in uncoordinated ways and at irregular intervals. For example, university students connect in intermittent groups that repeatedly form and dissolve based on multiple factors, including their lectures, interests, and friends. Such dynamic systems can be represented as multilayer network...
متن کاملPredicting Citywide Crowd Flows Using Deep Spatio-Temporal Residual Networks
Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, including spatial dependencies (nearby and distant), temporal dependencies (closeness, period, trend), and external conditions (e.g. weather and events). We propose a deep-learning-based approach, called ST-ResNet, to collectively forecas...
متن کاملDeep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, such as inter-region traffic, events, and weather. We propose a deep-learning-based approach, called ST-ResNet, to collectively forecast the inflow and outflow of crowds in each and every region of a city. We design an end-to-end structur...
متن کاملTemporal Abstraction in Temporal-difference Networks
We present a generalization of temporal-difference networks to include temporally abstract options on the links of the question network. Temporal-difference (TD) networks have been proposed as a way of representing and learning a wide variety of predictions about the interaction between an agent and its environment. These predictions are compositional in that their targets are defined in terms ...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 2019
ISSN: 0022-0000
DOI: 10.1016/j.jcss.2019.02.003