Contextual information provides an important basis for identifying and understanding users' information needs. Our previous work in traditional information retrieval systems ...
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
This paper reports on work done for the Genomics Track at TREC 2004 by ConverSpeech LLC in conjunction with scientists at the Saccharomyces Genome Database (SGD), the model organi...
Colleen E. Crangle, Alex Zbyslaw, J. Michael Cherr...