We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
Cristian Bucila, Rich Caruana, Alexandru Niculescu...
We describe an experiment to test the hypothesis that Fitts' throughput is independent of the speed-accuracy tradeoff. Eighteen participants used a mouse in performing a tota...
Collecting usability data over time is increasingly becoming best practice in industry, but lacks "thought leadership" in current literature; few papers address the topi...
Misha W. Vaughan, Catherine Courage, Stephanie Ros...
Knowledge workers making sense of a topic divide their time among activities including searching for information, reading, and taking notes. We have built a software system that s...