In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
We present the results of a three year field study of the software development process choices made by project teams at two leading offshore vendors. In particular, we focus on th...
In online advertising, pervasive in commercial search engines, advertisers typically bid on few terms, and the scarcity of data makes ad matching difficult. Suggesting additional ...
William Chang, Patrick Pantel, Ana-Maria Popescu, ...
Indian business clusters have contributed immensely to the country's industrial output, poverty alleviation and employment generation. However, with recent globalization thes...