254 search results - page 4 / 51 » Combining Bayesian Networks with Higher-Order Data Represent... |
SARA
2007
Springer
15 years 3 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
102
click to vote
PPDP
2009
Springer
15 years 4 months ago
2009
Springer
We introduce a logic programming framework for data type transformations based on isomorphisms between elementary data types (natural numbers, finite functions, sets and permutat...
IJAR
2006
14 years 9 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
ICDAR
2009
IEEE
14 years 7 months ago
2009
IEEE
Combining classifier methods have shown their effectiveness in a number of applications. Nonetheless, using simultaneously multiple classifiers may result in some cases in a reduc...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...