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JMLR
2010
118views more  JMLR 2010»
14 years 6 months ago
Dirichlet Process Mixtures of Generalized Linear Models
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...
Lauren Hannah, David M. Blei, Warren B. Powell
ML
2012
ACM
388views Machine Learning» more  ML 2012»
13 years 7 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
PAMI
2012
13 years 2 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
ICML
2007
IEEE
16 years 19 days ago
Sparse probabilistic classifiers
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
Romain Hérault, Yves Grandvalet
ISBI
2002
IEEE
16 years 16 days ago
Effect of the normalization template in statistical parametric mapping of PET scans
The standard template provided with the statistical software package SPM'99 was originally developed for 15 O-H2O PET scans in resting condition with eyes closed. This templa...
Juan D. Gispert, Javier Pascau, Santiago Reig, Ra&...