Sciweavers

698 search results - page 2 / 140
» Bayesian probability
Sort
View
ICASSP
2008
IEEE
13 years 12 months ago
Minimum mean bayes risk error quantization of prior probabilities
Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, must be quantized. Nearest neighbor and centroid conditions f...
Kush R. Varshney, Lav R. Varshney
ICML
2001
IEEE
14 years 6 months ago
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
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...
Bianca Zadrozny, Charles Elkan
SYNTHESE
2008
85views more  SYNTHESE 2008»
13 years 5 months ago
Objective Bayesianism with predicate languages
Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objectiv...
Jon Williamson
ICML
2001
IEEE
14 years 6 months ago
General Loss Bounds for Universal Sequence Prediction
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
Marcus Hutter
UAI
2004
13 years 6 months ago
A New Characterization of Probabilities in Bayesian Networks
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Lenhart K. Schubert