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ICA
2007
Springer
14 years 1 months ago
On Separation of Signal Sources Using Kernel Estimates of Probability Densities
The discussion in this paper revolves around the notion of separation problems. The latter can be thought of as a unifying concept which includes a variety of important problems in...
Oleg V. Michailovich, Douglas Wiens
IPMI
2003
Springer
14 years 8 months ago
Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
Jie Zhang, Anand Rangarajan
COLT
2004
Springer
14 years 26 days ago
Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results
One of the nice properties of kernel classifiers such as SVMs is that they often produce sparse solutions. However, the decision functions of these classifiers cannot always be u...
Peter L. Bartlett, Ambuj Tewari
LWA
2004
13 years 8 months ago
A Simple Method For Estimating Conditional Probabilities For SVMs
Support Vector Machines (SVMs) have become a popular learning algorithm, in particular for large, high-dimensional classification problems. SVMs have been shown to give most accur...
Stefan Rüping
JMLR
2010
173views more  JMLR 2010»
13 years 2 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...