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NIPS
1996
15 years 6 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
IPL
2006
97views more  IPL 2006»
15 years 4 months ago
A fixed-parameter tractability result for multicommodity demand flow in trees
We study an NP-hard (and MaxSNP-hard) problem in trees--Multicommodity Demand Flow--dealing with demand flows between pairs of nodes and trying to maximize the value of the routed...
Jiong Guo, Rolf Niedermeier
CORR
2007
Springer
134views Education» more  CORR 2007»
15 years 4 months ago
A Partition-Based Relaxation For Steiner Trees
The Steiner tree problem is a classical NP-hard optimization problem with a wide range of practical applications. In an instance of this problem, we are given an undirected graph ...
Jochen Könemann, David Pritchard, Kunlun Tan
INFORMS
2007
150views more  INFORMS 2007»
15 years 4 months ago
SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
— We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlin...
Julián Molina Luque, Manuel Laguna, Rafael ...
SIGPRO
2010
154views more  SIGPRO 2010»
15 years 3 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo