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SAC
2008
ACM
13 years 9 months ago
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Paul Fearnhead
INFOCOM
2005
IEEE
14 years 3 months ago
Time and energy complexity of distributed computation in wireless sensor networks
— We consider a scenario where a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing...
Nilesh Khude, Anurag Kumar, Aditya Karnik
EMO
2003
Springer
81views Optimization» more  EMO 2003»
14 years 3 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
NIPS
2001
13 years 11 months ago
A Parallel Mixture of SVMs for Very Large Scale Problems
Support Vector Machines (SVMs) are currently the state-of-the-art models for many classication problems but they suer from the complexity of their training algorithm which is at l...
Ronan Collobert, Samy Bengio, Yoshua Bengio
ICRA
2005
IEEE
174views Robotics» more  ICRA 2005»
14 years 3 months ago
Fast Implementation of Lemke's Algorithm for Rigid Body Contact Simulation
— We present a fast method for solving rigid body contact problems with friction, based on optimizations incorporated into Lemke’s algorithm for solving linear complementarity ...
John E. Lloyd