[Lisa_teatalk] Tea Talk this Wednesday, 1:30pm: Taxi Destination Prediction

Jörg Bornschein bornj at iro.umontreal.ca
Tue Aug 25 11:51:21 EDT 2015


Dear all,

we will have a tea talk by Alexandre de Brébisson, Étienne Simon and Alex
Auvolat this Wednesday, 26th August at 1:30pm in AA 3195. They will talk
about their successful participation (1st place!) in the Kaggle Taxi
Trajectory Prediction challenge:

 Artificial Neural Networks Applied to Taxi Destination Prediction

We describe our first-place solution to the ECML/PKDD discovery challenge
on taxi destination prediction. The task consisted in predicting the
destination of a taxi based on the beginning of its trajectory, represented
as a variable-length sequence of GPS points, and diverse associated
meta-information, such as the departure time, the driver id and client
information. Contrary to most published competitor approaches, we used an
almost fully automated approach based on neural networks and we ranked
first out of 381 teams. The architectures we tried use multi-layer
perceptrons, bidirectional recurrent neural networks and models inspired
from recently introduced memory networks. Our approach could easily be
adapted to other applications in which the goal is to predict a
fixed-length output from a variable-length sequence.


Link to the paper: http://arxiv.org/abs/1508.00021


Hope to see you all there!


   j
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