Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
Modern society requires the public to have an increased knowledge of science beyond the basics, with average people needing to understand concepts in science, technology, engineer...
Christopher B. Stapleton, Eileen M. Smith, Charles...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
In this paper we examine the relationship between emergent social network characteristics in a computer-supported collaborative learning course and locus of control. An emergent c...
Michael Stefanone, Jeffrey T. Hancock, Geri Gay, A...
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...