775 search results - page 97 / 155 » First-order probabilistic inference |
154
click to vote
JMLR
2010
14 years 10 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
119
click to vote
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
133
click to vote
MLDM
2007
Springer
15 years 10 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
164
click to vote
DT
2006
15 years 3 months ago
2006
The widely used engineering decisions concerning the performance of technological equipment for process industries are usually deterministic. Since the early 1990s probabilistic m...
161
click to vote
AAAI
2008
15 years 6 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...