Design and Analysis of Algorithms (DAA) 3621511 (6 cp) Pasi Fränti 16.9.2013 2 DAA course at Autumn 2013 • Web: http://cs.uef.fi/pages/franti/asa/ • ETCS 6 (=richer content) • Lectures (34h): - Mon 14-16, 16-18 - Tue 14-16 • Exercises (16h): - Fri 10-12...
In particular, we highlight specific sparse modeling algorithms that are easy to use and understand for the spectroscopist, as opposed to the overly complex "black-box" algorithms that dominate much of the statistical learning literature. We apply these sparse modeling approaches to three ...
Moreover, in the case of highly varying functions, learning algorithms entirely based on local generalization are severely impacted by the curse of dimensionality [2]. Deep architectures address this issue with the use of distributed representations and as such may constitute a tractable alternative. ...
shared spaces, culminating in a new approach presented here called the Integrated Pedestrian–Vehicle Model (IPVM)—a novel framework that combines social force models, car-following models and other algorithms from the robotics domain to better describe both mobility and activity within a shared ...