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» Sequential predictions based on algorithmic complexity
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AUTOMATICA
2002
81views more  AUTOMATICA 2002»
14 years 11 months ago
The explicit linear quadratic regulator for constrained systems
For discrete-time linear time invariant systems with constraints on inputs and states, we develop an algorithm to determine explicitly, the state feedback control law which minimi...
Alberto Bemporad, Manfred Morari, Vivek Dua, Efstr...
3DPVT
2002
IEEE
169views Visualization» more  3DPVT 2002»
15 years 4 months ago
Compression of Isosurfaces for Structured Volumes with Context Modelling
In many applications surfaces with a large number of primitives occur. Geometry compression reduces storage space and transmission time for such models. A special case is given by...
Dietmar Saupe, Jens-Peer Kuska
ML
2008
ACM
14 years 11 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
AIEDAM
1998
87views more  AIEDAM 1998»
14 years 11 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
14 years 10 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
Daniel Hernández-Lobato, José Miguel...