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» Quantizing Density Estimators
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ICMLA
2007
13 years 9 months ago
Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
Mingzhou (Joe) Song, Robert M. Haralick, Sté...
ACML
2009
Springer
14 years 2 months 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
CORR
2004
Springer
144views Education» more  CORR 2004»
13 years 7 months ago
Iterative Quantization Using Codes On Graphs
We study codes on graphs combined with an iterative message passing algorithm for quantization. Specifically, we consider the binary erasure quantization (BEQ) problem which is th...
Emin Martinian, Jonathan S. Yedidia
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 9 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 2 months ago
A progressive error estimation framework for photon density estimation
Toshiya Hachisuka, Wojciech Jarosz, Henrik Wann Je...