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

David Krueger david.scott.krueger at gmail.com
Tue Aug 25 13:28:07 EDT 2015


Congratulations, guys!  Another cool application of deep learning!
I wish I was in town for the talk.

On Tue, Aug 25, 2015 at 11:51 AM, Jörg Bornschein <bornj at iro.umontreal.ca>
wrote:

> 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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