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» A Parallel Version for the Propagation Algorithm
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PPSN
1990
Springer
13 years 11 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
PODC
1998
ACM
13 years 12 months ago
In-Place Reconstruction of Delta Compressed Files
We present an algorithm for modifying delta compressed files so that the compressed versions may be reconstructed without scratch space. This allows network clients with limited ...
Randal C. Burns, Darrell D. E. Long
IPPS
2008
IEEE
14 years 2 months ago
Junction tree decomposition for parallel exact inference
We present a junction tree decomposition based algorithm for parallel exact inference. This is a novel parallel exact inference method for evidence propagation in an arbitrary jun...
Yinglong Xia, Viktor K. Prasanna
AI
2011
Springer
12 years 11 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
ATVA
2011
Springer
295views Hardware» more  ATVA 2011»
12 years 7 months ago
Parallel Nested Depth-First Searches for LTL Model Checking
Even though the well-known nested-depth first search algorithm for LTL model checking provides good performance, it cannot benefit from the recent advent of multi-core computers....
Sami Evangelista, Laure Petrucci, Samir Youcef