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» Learning of Boolean Functions Using Support Vector Machines
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MICRO
2005
IEEE
130views Hardware» more  MICRO 2005»
14 years 2 months ago
Exploiting Vector Parallelism in Software Pipelined Loops
An emerging trend in processor design is the addition of short vector instructions to general-purpose and embedded ISAs. Frequently, these extensions are employed using traditiona...
Samuel Larsen, Rodric M. Rabbah, Saman P. Amarasin...
PLDI
2010
ACM
14 years 2 months ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
IUI
2012
ACM
12 years 4 months ago
Towards automatic functional test execution
As applications are developed, functional tests ensure they continue to function as expected. Nowadays, functional testing is mostly done manually, with human testers verifying a ...
Pablo Pedemonte, Jalal Mahmud, Tessa Lau
ICML
2005
IEEE
14 years 10 months ago
Unsupervised evidence integration
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
Philip M. Long, Vinay Varadan, Sarah Gilman, Mark ...
IJON
2007
100views more  IJON 2007»
13 years 9 months ago
A neural network approach to audio-assisted movie dialogue detection
A novel framework for audio-assisted dialogue detection based on indicator functions and neural networks is investigated. An indicator function defines that an actor is present a...
Margarita Kotti, Emmanouil Benetos, Constantine Ko...