As the d esig n-m anu factu ring interface becom es increasing ly com plicated with IC technolog y scaling , the correspond ing process variability poses g reat challeng es for na...
Yang Xu, Kan-Lin Hsiung, Xin Li, Ivan Nausieda, St...
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...