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» On Unbiased Linear Approximations
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STOC
2002
ACM
103views Algorithms» more  STOC 2002»
15 years 10 months ago
Approximate clustering via core-sets
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
Mihai Badoiu, Sariel Har-Peled, Piotr Indyk
AUTOMATICA
2006
111views more  AUTOMATICA 2006»
14 years 9 months ago
The minimal disturbance invariant set: Outer approximations via its partial sums
This paper is concerned with outer approximations of the minimal disturbance invariant set (MDIS) of a discrete-time linear system with an additive set-bounded disturbance. The k-...
Chong Jin Ong, Elmer G. Gilbert
DAC
2009
ACM
15 years 1 months ago
Fast vectorless power grid verification using an approximate inverse technique
Power grid verification in modern integrated circuits is an integral part of early system design where adjustments can be most easily incorporated. In this work, we describe an ea...
Nahi H. Abdul Ghani, Farid N. Najm
SIAMNUM
2010
105views more  SIAMNUM 2010»
14 years 4 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
ICML
2006
IEEE
15 years 3 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup