We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
Internal Study Groups at Colgate University have increased staff members’ technical knowledge, encouraged additional study on selected topics, and resulted in achievement of ind...
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
This paper describes the teaching of OpenGL shaders with hands-on a program called glman. Hands-on education is at its best when the students’ experimental feedback loop is very...