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JMLR
2010
173views more  JMLR 2010»
12 years 11 months ago
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution ...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
NECO
2011
12 years 11 months ago
Least-Squares Independent Component Analysis
Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
Taiji Suzuki, Masashi Sugiyama
IEICET
2010
133views more  IEICET 2010»
13 years 3 months ago
Least-Squares Conditional Density Estimation
Estimating the conditional mean of an input-output relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 8 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ECCV
1998
Springer
14 years 6 months ago
The Role of Total Least Squares in Motion Analysis
Abstract. The main goal of this paper is to put well-established techniques for two-view motion analysis in the context of the theory of Total Least Squares and to make clear that ...
Matthias Mühlich, Rudolf Mester