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» Approximate algorithms for neural-Bayesian approaches
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DEXA
2009
Springer
153views Database» more  DEXA 2009»
15 years 1 months ago
Three Approximation Algorithms for Energy-Efficient Query Dissemination in Sensor Database System
Abstract. Sensor database is a type of database management system which offers sensor data and stored data in its data model and query languages. In this system, when a user poses ...
Zhao Zhang, Xiaofeng Gao, Xuefei Zhang, Weili Wu, ...
COMGEO
2004
ACM
14 years 9 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 9 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
CAD
2006
Springer
14 years 9 months ago
An efficient, error-bounded approximation algorithm for simulating quasi-statics of complex linkages
Design and analysis of articulated mechanical structures, commonly referred to as linkages, is an integral part of any CAD/CAM system. The most common approaches formulate the pro...
Stephane Redon, Ming C. Lin
85
Voted
NIPS
2003
14 years 11 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck