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168
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SMA
2009
ACM
125views Solid Modeling» more  SMA 2009»
16 years 24 days ago
Stable mesh decimation
Current mesh reduction techniques, while numerous, all primarily reduce mesh size by successive element deletion (e.g. edge collapses) with the goal of geometric and topological f...
Chandrajit L. Bajaj, Andrew Gillette, Qin Zhang
EUROCOLT
1999
Springer
15 years 10 months ago
Averaging Expert Predictions
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss func...
Jyrki Kivinen, Manfred K. Warmuth
DAC
1997
ACM
15 years 10 months ago
Zeros and Passivity of Arnoldi-Reduced-Order Models for Interconnect Networks
CAD tools and research in the area of reduced-order modeling of largelinearinterconnect networkshaveevolved from merely finding a Pad´e approximation for the given network trans...
Ibrahim M. Elfadel, David D. Ling
IJCAI
1997
15 years 7 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
167
Voted
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
15 years 7 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross