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» Learning Gaussian Process Models from Uncertain Data
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EMNLP
2009
13 years 5 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight
ISCA
1997
IEEE
137views Hardware» more  ISCA 1997»
13 years 11 months ago
A Language for Describing Predictors and Its Application to Automatic Synthesis
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
Joel S. Emer, Nicholas C. Gloy
KDD
2004
ACM
116views Data Mining» more  KDD 2004»
14 years 22 days ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
ICS
2007
Tsinghua U.
14 years 1 months ago
Locality of sampling and diversity in parallel system workloads
Observing the workload on a computer system during a short (but not too short) time interval may lead to distributions that are significantly different from those that would be o...
Dror G. Feitelson
ICCV
2007
IEEE
14 years 9 months ago
A Scalable Approach to Activity Recognition based on Object Use
We propose an approach to activity recognition based on detecting and analyzing the sequence of objects that are being manipulated by the user. In domains such as cooking, where m...
Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, ...