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GCB
1997
Springer
74views Biometrics» more  GCB 1997»
13 years 11 months ago
Using constraint programming for lattice protein folding
We present a global search technique for nding the global minimal conformation of a sequence in Dill's HP-lattice model5;6 . The HP-lattice model is a simpli ed model of prot...
Rolf Backofen
ICML
2010
IEEE
13 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
AEI
2005
102views more  AEI 2005»
13 years 7 months ago
Manufacturing planning and predictive process model integration using software agents
Intelligent agents provide a means to integrate various manufacturing software applications. The agents are typically executed in a computer-based collaborative environment, refer...
Shaw C. Feng, Keith A. Stouffer, Kevin K. Jurrens
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
14 years 2 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
CEC
2005
IEEE
14 years 1 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan