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» Approximate algorithms for neural-Bayesian approaches
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DAWAK
2006
Springer
15 years 1 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin
SIGPRO
2011
209views Hardware» more  SIGPRO 2011»
14 years 4 months ago
Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms
In this paper, we survey and compare different algorithms that, given an overcomplete dictionary of elementary functions, solve the problem of simultaneous sparse signal approxim...
A. Rakotomamonjy
WSC
2004
14 years 11 months ago
Retrospective Approximation Algorithms for the Multidimensional Stochastic Root-Finding Problem
The stochastic root-finding problem (SRFP) is that of solving a system of q equations in q unknowns using only an oracle that provides estimates of the function values. This paper...
Raghu Pasupathy, Bruce W. Schmeiser
WADS
2009
Springer
243views Algorithms» more  WADS 2009»
15 years 4 months ago
Approximation Algorithms for Buy-at-Bulk Geometric Network Design
Abstract. The buy-at-bulk network design problem has been extensively studied in the general graph model. In this paper we consider the geometric version of the problem, where all ...
Artur Czumaj, Jurek Czyzowicz, Leszek Gasieniec, J...
IPL
2011
91views more  IPL 2011»
14 years 4 months ago
A note on improving the performance of approximation algorithms for radiation therapy
The segment minimization problem consists of representing an integer matrix as the sum of the fewest number of integer matrices each of which have the property that the non-zeroes...
Therese C. Biedl, Stephane Durocher, Holger H. Hoo...