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» Structured Parameter Elicitation
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CVPR
2012
IEEE
13 years 6 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
146
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ESAW
2004
Springer
15 years 9 months ago
Techniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
Manuel Fehler, Franziska Klügl, Frank Puppe
155
Voted
BMCBI
2008
147views more  BMCBI 2008»
15 years 3 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
116
Voted
AUTOMATICA
2006
104views more  AUTOMATICA 2006»
15 years 3 months ago
Identification of multi-input systems: variance analysis and input design issues
This paper examines the identification of multi-input systems. Motivated by an experiment design problem (should one excite the various inputs simultaneously or separately), we ex...
Michel Gevers, Ljubisa Miskovic, Dominique Bonvin,...
130
Voted
BMCBI
2004
96views more  BMCBI 2004»
15 years 3 months ago
Gene finding in novel genomes
Background: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. Results: I introduce the SNAP gene finder whi...
Ian Korf