— In this paper we propose an exact algorithm that maximizes the sharing of partial terms in Multiple Constant Multiplication (MCM) operations. We model this problem as a Boolean...
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
In this paper, we propose two new support vector approaches for ordinal regression, which optimize multiple thresholds to define parallel discriminant hyperplanes for the ordinal...
This paper presents a study aimed to the realization of a novel
multiresolution registration framework. The transformation
function is computed iteratively as a composition of lo...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...