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PE
2006
Springer
145views Optimization» more  PE 2006»
15 years 2 months ago
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
Takayuki Osogami, Mor Harchol-Balter
122
Voted
NECO
2007
129views more  NECO 2007»
15 years 2 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
116
Voted
ISAAC
2004
Springer
107views Algorithms» more  ISAAC 2004»
15 years 8 months ago
On the Hardness and Easiness of Random 4-SAT Formulas
Assuming 3-SAT formulas are hard to refute with high probability, Feige showed approximation hardness results, among others for the max bipartite clique. We extend this result in t...
Andreas Goerdt, André Lanka
118
Voted
NIPS
1996
15 years 3 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
96
Voted
SIAMAM
2010
84views more  SIAMAM 2010»
15 years 29 days ago
Multidisciplinary Free Material Optimization
We present a mathematical framework for the so-called multidisciplinary free material optimization (MDFMO) problems, a branch of structural optimization in which the full material ...
Jaroslav Haslinger, Michal Kocvara, Günter Le...