Previous research has found performance for several egocentric tasks to be superior on physically large displays relative to smaller ones, even when visual angle is held constant....
Jonathan Z. Bakdash, Jason S. Augustyn, Dennis Pro...
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Think Like a Commander – Excellence in Leadership (TLAC-XL) is an application designed for learning leadership skills both from the experiences of others and through a structure...
Randall W. Hill Jr., Jay Douglas, Andrew Gordon, F...
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
Peter Meinicke, Maike Tech, Burkhard Morgenstern, ...