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JMLR
2010
149views more  JMLR 2010»
14 years 5 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
ICPP
1999
IEEE
15 years 3 months ago
SLC: Symbolic Scheduling for Executing Parameterized Task Graphs on Multiprocessors
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
73
Voted
CORR
2007
Springer
120views Education» more  CORR 2007»
14 years 11 months ago
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory
—For a stationary additive Gaussian-noise channel with a rational noise power spectrum of a finite-order L, we derive two new results for the feedback capacity under an average ...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
82
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ASPDAC
2007
ACM
119views Hardware» more  ASPDAC 2007»
15 years 3 months ago
Optimum Prefix Adders in a Comprehensive Area, Timing and Power Design Space
Parallel prefix adder is the most flexible and widely-used binary adder for ASIC designs. Many high-level synthesis techniques have been developed to find optimal prefix structures...
Jianhua Liu, Yi Zhu, Haikun Zhu, Chung-Kuan Cheng,...
IPPS
2005
IEEE
15 years 4 months ago
Automatic Support for Irregular Computations in a High-Level Language
The problem of writing high performance parallel applications becomes even more challenging when irregular, sparse or adaptive methods are employed. In this paper we introduce com...
Jimmy Su, Katherine A. Yelick