154 search results - page 5 / 31 » Maximum Entropy Model Learning of the Translation Rules |
AAAI
2008
14 years 4 days 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...
NAACL
2004
13 years 11 months ago
2004
Maximum entropy models are a common modeling technique, but prone to overfitting. We show that using an exponential distribution as a prior leads to bounded absolute discounting b...
ICML
2000
IEEE
14 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...
FSKD
2006
Springer
14 years 1 months ago
2006
Springer
We regard answer extraction of Question Answering (QA) system as a classification problem, classifying answer candidate sentences into positive or negative. To confirm the feasibil...
ICMCS
2007
IEEE
14 years 4 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...