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» An LFT approach to parameter estimation
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SPEECH
2008
97views more  SPEECH 2008»
13 years 9 months ago
A new approach for the adaptation of HMMs to reverberation and background noise
Looking at practical application scenarios of speech recognition systems several distortion effects exist that have a major influence on the speech signal and can considerably det...
Hans-Günter Hirsch, Harald Finster
NIPS
2007
13 years 10 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
14 years 3 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 2 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
WSC
2007
13 years 11 months ago
Statistical analysis of simulation output: state of the art
This paper reviews statistical methods for analyzing output data from computer simulations. Specifically, it focuses on the estimation of steady-state system parameters. The esti...
Christos Alexopoulos