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» An Adaptive Supersampling Method
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ASPLOS
2009
ACM
16 years 4 months ago
QR decomposition on GPUs
QR decomposition is a computationally intensive linear algebra operation that factors a matrix A into the product of a unitary matrix Q and upper triangular matrix R. Adaptive sys...
Andrew Kerr, Dan Campbell, Mark Richards
124
Voted
SIGCSE
2009
ACM
144views Education» more  SIGCSE 2009»
16 years 4 months ago
A model academic ethics and integrity policy for computer science departments
For decades, US universities and colleges have had policies pertaining to the conduct of their students at the institutional level. These policies are referred to as Academic Inte...
Charles Riedesel, Eric D. Manley, Susan Poser, Jit...
CAV
2009
Springer
187views Hardware» more  CAV 2009»
16 years 4 months ago
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...
Nathan Kitchen, Andreas Kuehlmann
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 3 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
137
Voted
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 3 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin