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» Randomness, Stochasticity and Approximations
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STOC
2003
ACM
164views Algorithms» more  STOC 2003»
14 years 10 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer
PODS
2005
ACM
115views Database» more  PODS 2005»
14 years 9 months ago
Histograms revisited: when are histograms the best approximation method for aggregates over joins?
The traditional statistical assumption for interpreting histograms and justifying approximate query processing methods based on them is that all elements in a bucket have the same...
Alin Dobra
ICANN
2007
Springer
14 years 1 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel
MOR
2000
162views more  MOR 2000»
13 years 9 months ago
Approximation Algorithms for Disjoint Paths and Related Routing and Packing Problems
Given a network and a set of connection requests on it, we consider the maximum edge-disjoint paths and related generalizations and routing problems that arise in assigning paths f...
Alok Baveja, Aravind Srinivasan
CSE
2008
IEEE
13 years 9 months ago
Sampling Binary Contingency Tables
We study the problem of counting and randomly sampling binary contingency tables. For given row and column sums, we are interested in approximately counting (or sampling) 0/1 n
Ivona Bezáková