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NIPS
2007
13 years 10 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
STOC
2005
ACM
156views Algorithms» more  STOC 2005»
14 years 8 months ago
Convex programming for scheduling unrelated parallel machines
We consider the classical problem of scheduling parallel unrelated machines. Each job is to be processed by exactly one machine. Processing job j on machine i requires time pij . ...
Yossi Azar, Amir Epstein
CPM
2008
Springer
148views Combinatorics» more  CPM 2008»
13 years 10 months ago
On-Line Approximate String Matching with Bounded Errors
We introduce a new dimension to the widely studied on-line approximate string matching problem, by introducing an error threshold parameter so that the algorithm is allowed to mis...
Marcos A. Kiwi, Gonzalo Navarro, Claudio Telha
MOC
2000
109views more  MOC 2000»
13 years 8 months ago
A posteriori error estimation and adaptivity for degenerate parabolic problems
Abstract. Two explicit error representation formulas are derived for degenerate parabolic PDEs, which are based on evaluating a parabolic residual in negative norms. The resulting ...
Ricardo H. Nochetto, Alfred Schmidt, C. Verdi
ICS
2010
Tsinghua U.
14 years 5 months ago
Local Algorithms for Finding Interesting Individuals in Large Networks
: We initiate the study of local, sublinear time algorithms for finding vertices with extreme topological properties -- such as high degree or clustering coefficient -- in large so...
Mickey Brautbar, Michael Kearns