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ICML
2010
IEEE
13 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
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...
IPM
2008
100views more  IPM 2008»
13 years 7 months ago
Query-level loss functions for information retrieval
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...
ICDCS
2007
IEEE
13 years 11 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
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...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
ISCA
2002
IEEE
115views Hardware» more  ISCA 2002»
14 years 16 days ago
SafetyNet: Improving the Availability of Shared Memory Multiprocessors with Global Checkpoint/Recovery
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, ...