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CDC
2008
IEEE
133views Control Systems» more  CDC 2008»
9 years 6 days ago
A nonlinear least squares estimation procedure without initial parameter guesses
Abstract-- This paper introduces a convex formulation approach for the initialization of parameter estimation problems (PEP). The proposed method exploits the parameter-affine feat...
Julian Bonilla Alarcon, Moritz Diehl, Bart De Moor...
ICASSP
2010
IEEE
9 years 7 days ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer
UAI
1997
9 years 1 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
NIPS
1998
9 years 1 months ago
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
Yoram Singer, Manfred K. Warmuth
DAGM
2008
Springer
9 years 1 months ago
A Probabilistic Segmentation Scheme
We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent...
Dmitrij Schlesinger, Boris Flach
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
9 years 1 months ago
Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments
Frequently in the physical sciences experimental data are analyzed to determine model parameters using techniques known as parameter estimation. Eliminating the effects of noise ...
Emre H. Brookes, Borries Demeler
GCB
2007
Springer
83views Biometrics» more  GCB 2007»
9 years 4 months ago
Supervised Posteriors for DNA-motif Classification
: Markov models have been proposed for the classification of DNA-motifs using generative approaches for parameter learning. Here, we propose to apply the discriminative paradigm fo...
Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Gr...
LSGRID
2004
Springer
9 years 5 months ago
Distributed Cell Biology Simulations with E-Cell System
Many useful applications of simulation in computational cell biology, e.g. kinetic parameter estimation, Metabolic Control Analysis (MCA), and bifurcation analysis, require a large...
Masahiro Sugimoto, Kouichi Takahashi, Tomoya Kitay...
SAC
2006
ACM
9 years 6 months ago
Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling
Complex environmental modeling often involves a large number of unknown physical and ecological parameters. Parameter estimation is one of the most difficult steps in many modelin...
Kejing He, Shoubin Dong, Li Zheng
IROS
2006
IEEE
97views Robotics» more  IROS 2006»
9 years 6 months ago
A New Method of Force Control for Unknown Environments
–We propose a new control technique for force control on unknown environments. In particular, the proposed approach overcomes the need for precise estimation of environment param...
Vishnu Mallapragada, Duygun Erol, Nilanjan Sarkar
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