Schneider, "Event Prediction With Learning Algorithms--A Study of Events Surrounding the Egyptian Revolution of 2011 on the Basis of Micro Blog Data," Policy & Internet, vol. 7, no. 2, pp. 159-184, 2015.Boecking, B.; Hall, M.; Schneider, J. Event prediction with learning algorithms-...
About Adria Puigdomenech Badia: For the past seven years Badia has been at DeepMind, where he has specialized in the development of deep reinforcement learning algorithms. Examples of this include 'Asynchronous Methods for reinforcement learning' —where he and Vlad Mnih (DeepMind) proposed A3C - ...
Policing efforts to thwart crime typically rely on criminal infraction reports, which implicitly manifest a complex relationship between crime, policing and society. As a result, crime prediction and predictive policing have stirred controversy, with the latest artificial intelligence-based algorithms produci...
However, what the algorithms were doing in almost all cases was to classify all subjects as non-events. In this way the accuracy was good, but the prediction of “positive events” was almost null (sensitivity close to 0, specificity close to 100). This happens usually when the incidence ...
Another issue raised in the context of learning algorithms is the classification property generalization about the quality of the respective algorithm when applied to new data. To measure that quality, we show the distribution of differences between training and validation accuracy for the top-level da...
21-26. Introduces the software architecture of jAER and shows examples of several event-based processing algorithms. Liu, S.-C. and Delbruck, T., Neuromorphic sensory systems, Current Opinion in Neurobiology, 20:3(288-295), 2010. Zamarreño-Ramos, C., Linares-Barranco, A., Serrano-Gotar...
We considered ten algorithms including nine experts plus one ensemble (learner) method that performs machine learning using the other nine experts. An experiment on one dimensional crowd-sourced data showed that prediction with the ensemble method is more accurate than prediction with any of the ...
Scalable n-body event prediction Figure 5: Collisions - efficiency increase. Figure 6: Run time - naive algorithm. Figure 7: Collisions - naive algorithm. Figure 8: Run time - predictive algorithm. When comparing the run-times of both algorithms and all thread scenarios, the predictive ...
Methods and systems for event prediction. The system includes at least one connector configured to gather at least partially incomplete data from at least one data source. The gathe
Finally, we demonstrate the advantages of leveraging transfer learning from traditional to event-based vision, and show that our approach outperforms state-of-the-art algorithms based on standard cameras. PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract ...