686 search results - page 11 / 138 » Minimax Probability Machine |
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We examine the relationship between the predictions made by different learning algorithms and true posterior probabilities. We show that maximum margin methods such as boosted tre...
ICML
2002
IEEE
14 years 11 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
We develop and analyze M-estimation methods for divergence functionals and the likelihood ratios of two probability distributions. Our method is based on a non-asymptotic variatio...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...