411 search results - page 39 / 83 » Representing Uncertainty in RuleML |
CACM
2002
13 years 7 months ago
2002
This article describes a methodology for programming robots known as probabilistic robotics. The probabilistic paradigm pays tribute to the inherent uncertainty in robot perceptio...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from mea...
PODC
1995
ACM
13 years 11 months ago
1995
ACM
We show how solution concepts in games such as Nash equilibrium, correlated equilibrium, rationalizability, and sequential equilibrium can be given a uniform definition in terms ...
AAAI
2011
12 years 8 months ago
2011
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
AAAI
1998
13 years 9 months ago
1998
Two of the most important threads of work in knowledge representation today are frame-based representation systems (FRS's) and Bayesian networks (BNs). FRS's provide an ...