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146
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CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 3 months ago
On Functional Decomposition of Multivariate Polynomials with Differentiation and Homogenization
In this paper, we give a theoretical analysis for the algorithms to compute functional decomposition for multivariate polynomials based on differentiation and homogenization which ...
Shang-Wei Zhao, Ruyong Feng, Xiao-Shan Gao
168
Voted
SIAMMAX
2011
157views more  SIAMMAX 2011»
14 years 6 months ago
Deflated Restarting for Matrix Functions
We investigate an acceleration technique for restarted Krylov subspace methods for computing the action of a function of a large sparse matrix on a vector. Its effect is to ultima...
Michael Eiermann, Oliver G. Ernst, Stefan Güt...
ICML
2008
IEEE
16 years 4 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
ICML
2003
IEEE
16 years 4 months ago
Planning in the Presence of Cost Functions Controlled by an Adversary
We investigate methods for planning in a Markov Decision Process where the cost function is chosen by an adversary after we fix our policy. As a running example, we consider a rob...
H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
ICCD
2008
IEEE
160views Hardware» more  ICCD 2008»
15 years 9 months ago
An improved micro-architecture for function approximation using piecewise quadratic interpolation
We present a new micro-architecture for evaluating functions based on piecewise quadratic interpolation. The micro-architecture consists mainly of a look-up table and two multiply...
Shai Erez, Guy Even