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NIPS
2001
13 years 7 months ago
Quantizing Density Estimators
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...
Peter Meinicke, Helge Ritter
ACML
2009
Springer
14 years 11 days ago
Conditional Density Estimation with Class Probability Estimators
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
Eibe Frank, Remco R. Bouckaert
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 7 months ago
Direct Density Ratio Estimation with Dimensionality Reduction
Methods for directly estimating the ratio of two probability density functions without going through density estimation have been actively explored recently since they can be used...
Masashi Sugiyama, Satoshi Hara, Paul von Büna...
TOG
2010
106views more  TOG 2010»
13 years 13 days ago
A progressive error estimation framework for photon density estimation
Toshiya Hachisuka, Wojciech Jarosz, Henrik Wann Je...
IEICET
2010
80views more  IEICET 2010»
13 years 4 months ago
Theoretical Analysis of Density Ratio Estimation
Density ratio estimation has gathered a great deal of attention recently since it can be used for various data processing tasks. In this paper, we consider three methods of densit...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama