163 search results - page 18 / 33 » Representing Aggregators in Relational Probabilistic Models |
120
Voted
IJAR
2008
15 years 3 months ago
2008
There exist many tools for capturing imprecision in probabilistic representations. Among them are random sets, possibility distributions, probability intervals, and the more recen...
181
Voted
TSE
2011
14 years 10 months ago
2011
— We propose a new probabilistic temporal logic iLTL which captures properties of systems whose state can be represented by probability mass functions (pmf’s). Using iLTL, we c...
115
Voted
BMVC
2000
15 years 4 months ago
2000
We address the problem of object recognition in computer vision. We represent each model and the scene in the form of Attributed Relational Graph. A multiple region representation...
127
Voted
IDEAS
2000
IEEE
15 years 8 months ago
2000
IEEE
Most operations of the relational algebra or SQL - like projection with duplicate elimination, join, ordering, group by and aggregations - are efficiently processed using a sorted...
147
Voted
ICML
2000
IEEE
16 years 4 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...