We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
The goal of the PADS project, which started in 2001, is to make it easier for data analysts to extract useful information from ad hoc data files. This paper does not report new r...
This paper examines the use of motorized physical sliders with position and force as input and output parameters for tangible human computer interaction. Firstly, we present an an...
Ali Shahrokni, Julio Jenaro, Tomas Gustafsson, And...
Whenever we feel those ‘higher’ and hard to define sensations like synchronicity, love, wholeness, and appreciation is this a pattern or illuminative system that is part of a ...
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...