32 search results - page 3 / 7 » Learning Mixture Models with the Latent Maximum Entropy Prin... |
ICDM
2003
IEEE
14 years 26 days ago
2003
IEEE
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
ITCC
2005
IEEE
14 years 1 months ago
2005
IEEE
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
AAAI
2008
13 years 10 months ago
2008
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
COLT
2004
Springer
14 years 1 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...