2184 search results - page 43 / 437 » Relative Entropy and Statistics |
114
Voted
ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
COLT
1999
Springer
15 years 4 months ago
1999
Springer
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
119
Voted
CSL
2006
Springer
15 years 13 days ago
2006
Springer
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
MM
2005
ACM
15 years 6 months ago
2005
ACM
We propose a new method to measure “visualness” of concepts, that is, what extent concepts have visual characteristics. To know which concept has visually discriminative power...
COLT
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...