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» Means, Correlations and Bounds
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ECIR
2009
Springer
14 years 5 months ago
Correlation of Term Count and Document Frequency for Google N-Grams
For bounded datasets such as the TREC Web Track (WT10g) the computation of term frequency (TF) and inverse document frequency (IDF) is not difficult. However, when the corpus is th...
Martin Klein, Michael L. Nelson
ICML
2005
IEEE
14 years 9 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
WINE
2010
Springer
189views Economy» more  WINE 2010»
13 years 6 months ago
The Limits of Smoothness: A Primal-Dual Framework for Price of Anarchy Bounds
Abstract. We show a formal duality between certain equilibrium concepts, including the correlated and coarse correlated equilibrium, and analysis frameworks for proving bounds on t...
Uri Nadav, Tim Roughgarden
STOC
2003
ACM
95views Algorithms» more  STOC 2003»
14 years 8 months ago
Random knapsack in expected polynomial time
In this paper, we present the first average-case analysis proving an expected polynomial running time for an exact algorithm for the 0/1 knapsack problem. In particular, we prove,...
René Beier, Berthold Vöcking
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 8 months ago
Improved Smoothed Analysis of the k-Means Method
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Bodo Manthey, Heiko Röglin