702 search results - page 80 / 141 » Learning Probabilistic Models of Relational Structure |
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...
121
click to vote
AAAI
2000
15 years 1 months ago
2000
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
89
Voted
WEBI
2004
Springer
15 years 6 months ago
2004
Springer
In order to achieve optimal efficiency in a learning process, individual learner needs his/her own personalized assistance. For a web-based open and dynamic learning environment, ...
114
Voted
MLMI
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
111
Voted
IJAR
2010
14 years 11 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...