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112
Voted
APAL
2006
15 years 3 months ago
2006
We aim at a conceptually clear and technical smooth investigation of Ackermann's substitution method. Our analysis provides a direct classification of the provable recursive ...
134
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
114
Voted
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
146
Voted
IVC
2006
15 years 3 months ago
2006
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
156
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...