In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
In this paper, we present a novel maximum correlation sample subspace method and apply it to human face detection [1] in still images. The algorithm starts by projecting all the t...
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Background: In biological and medical domain, the use of web services made the data and computation functionality accessible in a unified manner, which helped automate the data pi...
Wei Tan, Ravi K. Madduri, Aleksandra Nenadic, Stia...
Background: Computational analysis of gene regulatory regions is important for prediction of functions of many uncharacterized genes. With this in mind, search of the target genes...
Elena A. Ananko, Yury V. Kondrakhin, Tatyana I. Me...