Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
d Abstract) Sanjeev Arora∗ L´aszl´o Lov´asz† Ilan Newman‡ Yuval Rabani§ Yuri Rabinovich¶ Santosh Vempala Motivated by applications in combinatorial optimization, we ini...
—The importance of introducing distance constraints to data dependencies, such as differential dependencies (DDs) [28], has recently been recognized. The metric distance constrai...
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...