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AE
2001
Springer
14 years 28 days ago
Why Biologists and Computer Scientists Should Work Together
This is a time of increasing interdisciplinary research. Computer science is learning more from biology every day, enabling a plethora of new software techniques to flourish. And b...
Peter J. Bentley
AAECC
2007
Springer
111views Algorithms» more  AAECC 2007»
13 years 8 months ago
When cache blocking of sparse matrix vector multiply works and why
Abstract. We present new performance models and a new, more compact data structure for cache blocking when applied to the sparse matrixvector multiply (SpM×V) operation, y ← y +...
Rajesh Nishtala, Richard W. Vuduc, James Demmel, K...
IMR
2003
Springer
14 years 1 months ago
When and Why Ruppert's Algorithm Works
An “adaptive” variant of Ruppert’s Algorithm for producing quality triangular planar meshes is introduced. The algorithm terminates for arbitrary Planar Straight Line Graph ...
Gary L. Miller, Steven E. Pav, Noel Walkington
AUSAI
2003
Springer
14 years 2 days ago
On Why Discretization Works for Naive-Bayes Classifiers
We investigate why discretization is effective in naive-Bayes learning. We prove a theorem that identifies particular conditions under which discretization will result in naiveBay...
Ying Yang, Geoffrey I. Webb
SODA
2008
ACM
88views Algorithms» more  SODA 2008»
13 years 9 months ago
Sampling stable marriages: why spouse-swapping won't work
We study the behavior of random walks along the edges of the stable marriage lattice for various restricted families of allowable preference sets. In the "k-attribute model,&...
Nayantara Bhatnagar, Sam Greenberg, Dana Randall