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» Approximation Algorithms for Min-Max Generalization Problems
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STOC
1994
ACM
128views Algorithms» more  STOC 1994»
14 years 27 days ago
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
We present new results on the well-studied problem of learning DNF expressions. We prove that an algorithm due to Kushilevitz and Mansour [13] can be used to weakly learn DNF form...
Avrim Blum, Merrick L. Furst, Jeffrey C. Jackson, ...
LATIN
2010
Springer
14 years 1 months ago
Euclidean Prize-Collecting Steiner Forest
In this paper, we consider Steiner forest and its generalizations, prize-collecting Steiner forest and k-Steiner forest, when the vertices of the input graph are points in the Euc...
MohammadHossein Bateni, MohammadTaghi Hajiaghayi
CAGD
2005
112views more  CAGD 2005»
13 years 8 months ago
Estimating differential quantities using polynomial fitting of osculating jets
This paper addresses the point-wise estimation of differential properties of a smooth manifold S--a curve in the plane or a surface in 3D--assuming a point cloud sampled over S is...
Frédéric Cazals, Marc Pouget
CORR
2011
Springer
243views Education» more  CORR 2011»
13 years 3 months ago
Deterministic Network Model Revisited: An Algebraic Network Coding Approach
Abstract—The capacity of multiuser networks has been a longstanding problem in information theory. Recently, Avestimehr et al. have proposed a deterministic network model to appr...
MinJi Kim, Elona Erez, Edmund M. Yeh, Muriel M&eac...
STOC
2004
ACM
61views Algorithms» more  STOC 2004»
14 years 9 months ago
The zero-one principle for switching networks
Recently, approximation analysis has been extensively used to study algorithms for routing weighted packets in various network settings. Although different techniques were applied...
Yossi Azar, Yossi Richter