Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
HTTP session-id’s take an important role in almost any web site today. This paper presents a cryptanalysis of Java Servlet 128-bit session-id’s and an efficient practical predi...
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...