Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Analysts in various domains, especially intelligence and financial, have to constantly extract useful knowledge from large amounts of unstructured or semi-structured data. Keyword...
Mithun Balakrishna, Dan I. Moldovan, Marta Tatu, M...
This paper describes the process and the resources used to automatically annotate a French corpus of spontaneous speech transcriptions in super-chunks. Super-chunks are enhanced c...
Olivier Blanc, Matthieu Constant, Anne Dister, Pat...
We study auction-like algorithms for the distributed allocation of tasks to cooperating agents. To reduce the team cost of sequential single-item auction algorithms, we generalize...
Sven Koenig, Craig A. Tovey, Xiaoming Zheng, Ilgaz...
We consider the problem of minimizing average latency cost while obliviously routing traffic in a network with linear latency functions. This is roughly equivalent to minimizing t...
Prahladh Harsha, Thomas P. Hayes, Hariharan Naraya...