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Found 7 papers, 0 papers with code
Local Area Routes for Vehicle Routing Problems
Ng-routes are routes which are permitted to have non-localized cycles in space; this means that at least one intermediate customer (called a breaker) in the cycle must consider the starting customer in the cycle to be spatially far away.
Clustering of Time Series Data with Prior Geographical Information
The results show that the proposed Spatial-DEC can find more desired spatio-temporal clusters.
Multi-Robot Routing with Time Windows: A Column Generation Approach
We formulate the problem as a weighted set packing problem where the elements in consideration are items on the warehouse floor that can be picked up and delivered within specified time windows.
A convolution recurrent autoencoder for spatio-temporal missing data imputation
When sensors collect spatio-temporal data in a large geographical area, the existence of missing data cannot be escaped.
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting
In neural network architecture, each kernel of a multi-kernel convolution layer is applied to a cluster of time series to extract short-term features in neighboring areas.
Online Classification Using a Voted RDA Method
We propose a voted dual averaging method for online classification problems with explicit regularization.
Thompson Sampling in Dynamic Systems for Contextual Bandit Problems
For the context bandit problems, Thompson Sampling is adopted based on the underlying posterior distributions of the parameters.
