75 search results - page 4 / 15 » Feature Lattices for Maximum Entropy Modelling |
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We study the problem of modeling species geographic distributions, a critical problem in conservation biology. We propose the use of maximum-entropy techniques for this problem, s...
102
Voted
ICMCS
2007
IEEE
15 years 3 months ago
2007
IEEE
Recently, the bag-of-words approach has been successfully applied to automatic image annotation, object recognition, etc. The method needs to first quantize an image using the vis...
WWW
2007
ACM
15 years 10 months ago
2007
ACM
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
92
Voted
ICML
2000
IEEE
15 years 10 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...
71
Voted
COLT
2004
Springer
15 years 2 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...