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NIPS
1992
15 years 5 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard
AI
2010
Springer
15 years 4 months ago
Learning conditional preference networks
We investigate the problem of eliciting CP-nets in the well-known model of exact learning with equivalence and membership queries. The goal is to identify a preference ordering wi...
Frédéric Koriche, Bruno Zanuttini
ANOR
2007
67views more  ANOR 2007»
15 years 4 months ago
A stochastic programming model for asset liability management of a Finnish pension company
This paper describes a stochastic programming model that was developed for asset liability management of a Finnish pension insurance company. In many respects the model resembles t...
Petri Hilli, Matti Koivu, Teemu Pennanen, Antero R...
AUTOMATICA
2007
107views more  AUTOMATICA 2007»
15 years 4 months ago
Adaptive boundary control for unstable parabolic PDEs - Part II: Estimation-based designs
The certainty equivalence approach to adaptive control is commonly used with two types of identifiers: passivity-based identifiers and swapping identifiers. The “passive” (...
Andrey Smyshlyaev, Miroslav Krstic
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 4 months ago
Shortest paths between shortest paths and independent sets
We study problems of reconguration of shortest paths in graphs. We prove that the shortest reconguration sequence can be exponential in the size of the graph and that it is NP-hard...
Marcin Kaminski, Paul Medvedev, Martin Milanic