43 search results - page 1 / 9 » Self-calibrating Probability Forecasting |
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
CISS
2011
IEEE
12 years 8 months ago
2011
IEEE
—The Coherent Approximation Principle (CAP) is a method for aggregating forecasts of probability from a group of judges by enforcing coherence with minimal adjustment. This paper...
MANSCI
2007
13 years 4 months ago
2007
Probability forecasters who are rewarded via a proper scoring rule may care not only about the score, but also about their performance relative to other forecasters. We model this...
COCOON
2007
Springer
13 years 8 months ago
2007
Springer
Each day a weather forecaster predicts a probability of each type of weather for the next day. After n days, all the predicted probabilities and the real weather data are sent to a...
NIPS
2003
13 years 6 months ago
2003
In the problem of probability forecasting the learner’s goal is to output, given a training set and a new object, a suitable probability measure on the possible values of the ne...