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» Using Machine Learning to Guide Architecture Simulation
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ICASSP
2009
IEEE
13 years 5 months ago
Adaptive predistortion of nonlinear Volterra systems using Spectral Magnitude Matching
Digital compensation of nonlinear systems is an important topic in many practical applications. This paper considers the problem of predistortion of nonlinear systems described us...
Emad Abd-Elrady, Li Gan, Gernot Kubin
ML
2008
ACM
115views Machine Learning» more  ML 2008»
13 years 8 months ago
Calling variadic functions from a strongly-typed language
The importance of providing a mechanism to call C functions from high-level languages has been understood for many years and, these days, almost all statically-typed high-level-la...
Matthias Blume, Mike Rainey, John H. Reppy
CASES
2003
ACM
14 years 1 months ago
Reducing code size with echo instructions
In an embedded system, the cost of storing a program onchip can be as high as the cost of a microprocessor. Compressing an application’s code to reduce the amount of memory requ...
Jeremy Lau, Stefan Schoenmackers, Timothy Sherwood...
NIPS
2007
13 years 9 months ago
Multi-Task Learning via Conic Programming
When we have several related tasks, solving them simultaneously is shown to be more effective than solving them individually. This approach is called multi-task learning (MTL) and...
Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, ...
JAIR
2011
134views more  JAIR 2011»
13 years 3 months ago
Scaling up Heuristic Planning with Relational Decision Trees
Current evaluation functions for heuristic planning are expensive to compute. In numerous planning problems these functions provide good guidance to the solution, so they are wort...
Tomás de la Rosa, Sergio Jiménez, Ra...