We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
Design of high performance Web servers has become a recent research thrust to meet the increasing demand of networkbased services. In this paper, we propose a new Web server archi...
Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz, Chita R. D...
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
In this paper we consider a model of different sorting of receptors for Fibroblast Growth Factor via the endocytotic pathway. In order to accurately model the relocation in the di...
Steffen van Bakel, Ikra Khan, Maria Grazia Vigliot...