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BMCBI
2010
115views more  BMCBI 2010»
15 years 6 months ago
Machine learning methods for metabolic pathway prediction
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
Joseph M. Dale, Liviu Popescu, Peter D. Karp
CORR
2010
Springer
81views Education» more  CORR 2010»
15 years 6 months ago
Using machine learning to make constraint solver implementation decisions
Programs to solve so-called constraint problems are complex pieces of software which require many design decisions to be made more or less arbitrarily by the implementer. These dec...
Lars Kotthoff, Ian P. Gent, Ian Miguel
148
Voted
CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 6 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
162
Voted
NN
2006
Springer
15 years 6 months ago
Machine learning in sedimentation modelling
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
Biswanath Bhattacharya, Dimitri P. Solomatine
SIAMJO
2008
104views more  SIAMJO 2008»
15 years 6 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd