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TSP
2008
101views more  TSP 2008»
15 years 26 days ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
129
Voted
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 10 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
110
Voted

Lecture Notes
1351views
16 years 11 months ago
The Fundamental Theorem of Asset Pricing
"These lecture notes treat various versions of the so-called “fundamental theorem of asset pricing”. Many students are familiar with statements about models for financia...
Harry van Zanten
ICASSP
2008
IEEE
15 years 7 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
ECBS
2007
IEEE
111views Hardware» more  ECBS 2007»
15 years 7 months ago
Model-Based Empirical Performance Evaluation Based on Relational Traces
Empirical performance evaluation is the process of measuring and calculating performance metrics of deployed software systems. It is a part of performance validation during testin...
Marko Boskovic