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JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
BTW
2005
Springer
113views Database» more  BTW 2005»
14 years 1 months ago
A Learning Optimizer for a Federated Database Management System
: Optimizers in modern DBMSs utilize a cost model to choose an efficient query execution plan (QEP) among all possible ones for a given query. The accuracy of the cost estimates de...
Stephan Ewen, Michael Ortega-Binderberger, Volker ...
CDC
2010
IEEE
129views Control Systems» more  CDC 2010»
13 years 2 months ago
On optimal input signal design for frequency response estimation
This paper studies optimal input excitation design for parametric frequency response estimation. We will focus on least-squares estimation of Finite Impulse Response (FIR) models a...
Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 7 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
UM
2007
Springer
14 years 1 months ago
Identifiability: A Fundamental Problem of Student Modeling
In this paper we show how model identifiability is an issue for student modeling: observed student performance corresponds to an infinite family of possible model parameter estimat...
Joseph E. Beck, Kai-min Chang