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Found 4 papers, 1 papers with code
MARec: Metadata Alignment for cold-start Recommendation
For many recommender systems the primary data source is a historical record of user clicks.
On model selection for scalable time series forecasting in transport networks
We discuss that modelling temporal and spatial features into deep learning predictors can be helpful for long-term predictions, while simpler, not deep learning-based predictors, achieve very satisfactory performance for link-based and short-term forecasting.
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Across numerous applications, forecasting relies on numerical solvers for partial differential equations (PDEs).
Bayesian Classifier for Route Prediction with Markov Chains
We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work of [Y. Lassoued, J. Monteil, Y. Gu, G. Russo, R. Shorten, and M. Mevissen, "Hidden Markov model for route and destination prediction," in IEEE International Conference on Intelligent Transportation Systems, 2017].
