- A Spatiotemporal Stochastic Model for Tropical Precipitation and ...🔍
- Dynamic and Stochastic Shipment Matching Problem in Multimodal ...🔍
- Learning Energy|based Spatial|Temporal Generative ConvNets for ...🔍
- Temporal dynamics of coordinated online behavior🔍
- Spatio|temporal Diffusion Point Processes🔍
- Scalable spatiotemporal prediction with Bayesian neural fields🔍
- Mathematical modeling of spatio|temporal population dynamics and ...🔍
- AN INTRODUCTION TO TEMPORAL GRAPHS🔍
Online Spatio|Temporal Matching in Stochastic and Dynamic Domains
A Spatiotemporal Stochastic Model for Tropical Precipitation and ...
Abstract A linear stochastic model is presented for the dynamics of water vapor and tropical convection. Despite its linear formulation, the model ...
Dynamic and Stochastic Shipment Matching Problem in Multimodal ...
... Dynamic Programming for Dynamic Vehicle Routing with Stochastic ... Online Spatio-Temporal Matching in Stochastic and Dynamic Domains.
Learning Energy-based Spatial-Temporal Generative ConvNets for ...
For dynamic textures, these spatial-temporal filters are convolutional in the temporal domain, reflecting the statistical stationarity or stochastic ...
Temporal dynamics of coordinated online behavior: Stability ... - PNAS
... stochastic process (14, 15). These methods are capable of modeling the ... As shown, there is overall a very good match between static and dynamic CCs.
Spatio-temporal Diffusion Point Processes - FIB-LAB
Conventional STPP models [7, 13, 45] mainly capture relatively simple patterns of spatio-temporal dynamics, where the temporal domain is modeled by temporal ...
Scalable spatiotemporal prediction with Bayesian neural fields
... spatiotemporal data must capture complex and highly nonstationary dynamics in both the time and space domains. For example, two locations ...
Mathematical modeling of spatio-temporal population dynamics and ...
For both values of σ the distribution is very well matched. Stochastic simulation. In order to simulate a PDMM process given by (23) one has to ...
AN INTRODUCTION TO TEMPORAL GRAPHS - Internet Mathematics
A very rich motivating domain is that of distributed computing systems that are inherently dynamic. The growing interest in such systems has been driven mainly ...
Activity Trajectory Generation via Modeling Spatiotemporal Dynamics
To tackle the challenge that irregular-sampled activities are inherently random and sparse, we model the dynamic evolu-.
Learning Causal Domain-Invariant Temporal Dynamics ... Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning ...
Spatio-Temporal Stochastic Optimization: Theory and Applications ...
Embedded in this function is also a spatial dependence. The dependence on x describes how the actuator is placed in the spatial domain. This approach ...
A Stochastic Dynamic Operator Framework That Improves ... - eNeuro
When predicting target signal behavior relative to spiking events, the SDO framework outperformed or matched classical spike-triggered averaging ...
Learning in Dynamic Temporal Domains Using Contextual ...
Shannon also produced a less cited paper describing a “matching-pennies” game play- ing program [Shannon, 1953]. This program utilizes a simple Markov-based ...
An Analysis of Quantile Temporal-Difference Learning
... domain of linear stochastic approximation methods. 19. Page 20. Rowland, Munos ... On the convergence of stochastic iterative dynamic programming algorithms.
Exact Spatiotemporal Dynamics of Confined Lattice Random Walks ...
I find the analytic solution of the discrete diffusion equation in confined domains and use it to predict how the probability for various ...
Prepositioning can improve the performance of a dynamic stochastic ...
Lois, Online algorithm for dynamic dial ... Lowalekar, Online spatio-temporal matching in stochastic and dynamic domains, Artificial Intelligence, № 261, с.
Future Gradient Descent for Adapting the Temporal Shifting Data ...
One of the key challenges of learning an online rec- ommendation model is the temporal domain shift, which causes the mismatch between the training.
Spatio-temporal EfficientNet for dynamic texture classification in ...
... dynamics from DTs in the temporal domain. Nguyen et al. [47]. 47. Nguyen ... Spatial Pyramid Matching (SPM) algorithm on combined SIFT [81]. 81. Lowe ...
Stochastic Dynamic Programming with Factored Representations
Although these networks have most typically been used to represent atemporal problem domains, we can apply the same techniques to capture temporal distributions ...
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
Graph analysis has received increased attention in recent years due to the wide range of domains that can be modeled as graphs, in- cluding the World Wide Web, ...