Search Results for author:
Found 4 papers, 4 papers with code
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots
We consider the problem of building visual anomaly detection systems for mobile robots.
A New Constructive Heuristic driven by Machine Learning for the Traveling Salesman Problem
So far, ML were engaged to create CLs and values on the edges of these CLs expressing ML preferences at solution insertion.
Machine Learning Constructives and Local Searches for the Travelling Salesman Problem
The ML-Constructive heuristic is a recently presented method and the first hybrid method capable of scaling up to real scale traveling salesman problems.
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Good old on-line back-propagation for plain multi-layer perceptrons yields a very low 0. 35% error rate on the famous MNIST handwritten digits benchmark.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
