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CP
2005
Springer
15 years 4 months ago
Approximations in Distributed Optimization
Abstract. We present a parameterized approximation scheme for distributed combinatorial optimization problems based on dynamic programming. The algorithm is a utility propagation m...
Adrian Petcu, Boi Faltings
AAAI
2008
15 years 23 days ago
Latent Tree Models and Approximate Inference in Bayesian Networks
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Yi Wang, Nevin Lianwen Zhang, Tao Chen
NN
2010
Springer
163views Neural Networks» more  NN 2010»
14 years 5 months ago
Approximating the stability region of a neural network with a general distribution of delays
We investigate the linear stability of a neural network with distributed delay, where the neurons are identical. We examine the stability of a symmetrical equilibrium point via th...
R. Jessop, S. A. Campbell
ICML
2005
IEEE
15 years 11 months ago
Compact approximations to Bayesian predictive distributions
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
Edward Snelson, Zoubin Ghahramani
PG
2000
IEEE
15 years 2 months ago
Interpolating and Approximating Moving Frames Using B-splines
The representation of moving geometry entities is an important issue in the fields of CAD/CAM and robotics motion design. We present a method to interpolate the moving frame homog...
Lizhuang Ma, Tony K. Y. Chan, Zhongding Jiang