305 search results - page 48 / 61 » Bayesian Learning of Markov Network Structure |
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
UAI
1997
13 years 9 months ago
1997
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
CIKM
1997
Springer
13 years 12 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
ISMB
1994
13 years 9 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
ECSQARU
2001
Springer
14 years 6 days ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...