Theoretic Subjects

  • Linear Regression and Time Series Analysis
  • Prediction through Matrix and Tensor Factorizations
  • Extreme Learning Machines
  • Probabilistic forecasting with a local quantile regression
  • Some notes on Ensemble Learning

Applications

  • Real-Time Prediction of Taxi-Passenger Demand for a short-term horizon using an online Ensemble Learning model
  • Renewable Energy Forecasting for a short-term horizon based on Extreme Learning Machines and on quantile-based probabilistic forecasting models
  • Link Prediction for prediction in social networks and relational data

Presenters

  • Luis Moreira-Matias (NEC Laboratories Europe), Contact: luis.matias@neclab.eu
  • Ricardo Bessa (INESTEC), Contact: ricardo.j.bessa@inescporto.pt
  • Josif Grabocka (University of Hildesheim), Contact: josif@ismll.de

Tutorial Agenda

Order Topic Download Duration Presenter
0 Introduction [Slides] 2-5 mins Luis Moreira-Matias
1 Linear Regression and Time-series Analysis [Slides] 20-30 mins Luis Moreira-Matias
2 Prediction through Matrix and Tensor Factorizations [Slides] 30-40 mins Josif Grabocka
3 Extreme Learning Machines [Slides] 15-20 mins Ricardo Bessa
4 Probabilistic forecasting with a basic linear quantile model [Slides] 15-20 mins Ricardo Bessa
5 Some notes on Ensemble Learning [Slides] 15-20 mins Luis Moreira-Matias
6 Real-Time Prediction of Taxi-Passenger Demand [Slides] 15-20 mins Luis Moreira-Matias
7 Renewable Energy Forecast [Slides][Supplementary] 20-25 mins Ricardo Bessa
8 Link Prediction using Factorization Techniques [Slides] 15-20 mins Josif Grabocka