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» Modeling Program Predictability
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WSC
2008
15 years 9 months ago
Using Little's Law to estimate cycle time and cost
Well designed models can provide timely answers and summarize understanding of complex systems. Simple use cases can illustrate the applicability and inferences possible with even...
Kristin Rust
JMLR
2010
160views more  JMLR 2010»
15 years 2 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
IPPS
2005
IEEE
16 years 26 days ago
Automatic Construction and Evaluation of Performance Skeletons
The performance skeleton of an application is a short running program whose execution time in any scenario reflects the estimated execution time of the application it represents....
Sukhdeep Sodhi, Jaspal Subhlok
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
16 years 4 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
16 years 1 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper