Data Science & Machine Learning
Thursday, 18 May 2017 -
09:30
Monday, 15 May 2017
Tuesday, 16 May 2017
Wednesday, 17 May 2017
Thursday, 18 May 2017
09:30
Coffee and registration
Coffee and registration
09:30 - 10:00
Room: Room: New York
10:00
10:00 - 10:15
Room: Room: New York
10:15
Application of Machine Learning Approaches to Real-Time Prediction of Train Arrivals
Application of Machine Learning Approaches to Real-Time Prediction of Train Arrivals
10:15 - 11:00
Room: Room: New York
11:00
Near Real-Time Optimization of Train Traffic in Densely Used Network Areas at SBB
Near Real-Time Optimization of Train Traffic in Densely Used Network Areas at SBB
11:00 - 11:45
Room: Room: New York
11:45
11:45 - 12:15
Room: Room: New York
12:15
Lunch and networking
Lunch and networking
12:15 - 13:15
Room: Room: New York
13:15
13:15 - 13:45
Room: Room: New York
13:45
13:45 - 14:10
Room: Room: New York
14:10
14:10 - 14:25
Room: Room: New York
14:25
14:25 - 15:00
15:00
15:00 - 15:10
Room: Toro 1/ K2
15:10
15:10 - 16:00
Room: Toro 1/ K2
16:00
16:00 - 17:00
Room: Room: New York
17:00
17:00 - 17:05
Room: Lab