Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
We develop an availability solution, called SafetyNet, that uses a unified, lightweight checkpoint/recovery mechanism to support multiple long-latency fault detection schemes. At...
Daniel J. Sorin, Milo M. K. Martin, Mark D. Hill, ...