567 search results - page 30 / 114 » Probabilistic Reasoning With Answer Sets |
SDM
2003
SIAM
14 years 9 days ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
AIM
2004
13 years 10 months ago
2004
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and prote...
ICDE
2009
IEEE
15 years 20 days ago
2009
IEEE
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
AAAI
2008
14 years 1 months ago
2008
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
LPNMR
2007
Springer
14 years 5 months ago
2007
Springer
We describe a new grounder system for logic programs under answer set semantics, called GrinGo. Our approach combines and extends techniques from the two primary grounding approach...