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SIAMCOMP
2011
13 years 3 months ago
Self-Improving Algorithms
We investigate ways in which an algorithm can improve its expected performance by fine-tuning itself automatically with respect to an arbitrary, unknown input distribution. We gi...
Nir Ailon, Bernard Chazelle, Kenneth L. Clarkson, ...
EMNLP
2009
13 years 6 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
PAMI
2010
112views more  PAMI 2010»
13 years 7 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum
ATAL
2008
Springer
13 years 10 months ago
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
PPSN
2010
Springer
13 years 6 months ago
More Effective Crossover Operators for the All-Pairs Shortest Path Problem
The all-pairs shortest path problem is the first non-artificial problem for which it was shown that adding crossover can significantly speed up a mutation-only evolutionary algorit...
Benjamin Doerr, Daniel Johannsen, Timo Kötzin...