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ICML
2000
IEEE
14 years 9 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
IPPS
1998
IEEE
14 years 1 months ago
Using the BSP Cost Model to Optimise Parallel Neural Network Training
We derive cost formulae for three di erent parallelisation techniques for training supervised networks. These formulae are parameterised by properties of the target computer archit...
R. O. Rogers, David B. Skillicorn
ICASSP
2011
IEEE
13 years 22 days ago
Factor graph switching portfolios under transaction costs
We consider the sequential portfolio investment problem. Building on results in signal processing, machine learning, and other areas, we use factor graphs to develop new universal...
Andrew J. Bean, Andrew C. Singer
KBS
2002
106views more  KBS 2002»
13 years 8 months ago
Hybrid decision tree
In this paper, a hybrid learning approach named HDT is proposed. HDT simulates human reasoning by using symbolic learning to do qualitative analysis and using neural learning to d...
Zhi-Hua Zhou, Zhaoqian Chen
GBRPR
2009
Springer
14 years 3 months ago
Matching Hierarchies of Deformable Shapes
This paper presents an approach to matching parts of deformable shapes. Multiscale salient parts of the two shapes are first identified. Then, these parts are matched if their im...
Nadia Payet, Sinisa Todorovic