Abstract. With the growing awareness of the scholarship of teaching and the appropriate incorporation of Information and Communications Technologies (ICT) in higher education, ther...
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
Jungmin Lee (Seoul National University), Minsu Cho...
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
As suggested by the title of Shoham, Powers, and Grenager’s position paper [34], the ultimate lens through which the multi-agent learning framework should be assessed is “what...
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...