686 search results - page 70 / 138 » Minimax Probability Machine |
CIVR
2004
Springer
14 years 3 months ago
2004
Springer
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
COCOON
2007
Springer
14 years 2 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...
ADMA
2006
Springer
14 years 2 months ago
2006
Springer
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
NIPS
2008
13 years 11 months ago
2008
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
FTML
2008
13 years 10 months ago
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...