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» Approximation Algorithms for Min-Max Generalization Problems
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JAIR
2006
143views more  JAIR 2006»
13 years 9 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
12 years 9 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
13 years 10 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
APPROX
2007
Springer
67views Algorithms» more  APPROX 2007»
14 years 3 months ago
Maximum Gradient Embeddings and Monotone Clustering
abstract Manor Mendel1 and Assaf Naor2 1 The Open University of Israel 2 Courant Institute Let (X, dX ) be an n-point metric space. We show that there exists a distribution D over ...
Manor Mendel, Assaf Naor
AAIM
2005
Springer
122views Algorithms» more  AAIM 2005»
14 years 2 months ago
Complexity of Minimal Tree Routing and Coloring
Let G be a undirected connected graph. Given a set of g groups each being a subset of V (G), tree routing and coloring is to produce g trees in G and assign a color to each of them...
Xujin Chen, Xiao-Dong Hu, Xiaohua Jia