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» Extending Jess to Handle Uncertainty
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RULEML
2005
Springer
14 years 1 months ago
Extending the SweetDeal Approach for e-Procurement Using SweetRules and RuleML
We show the first detailed realistic e-business application scenario that uses and exploits capabilities of the SweetRules V2.1 toolset for e-contracting using the SweetDeal approa...
Sumit Bhansali, Benjamin N. Grosof
VLDB
2005
ACM
110views Database» more  VLDB 2005»
14 years 1 months ago
U-DBMS: A Database System for Managing Constantly-Evolving Data
In many systems, sensors are used to acquire information from external environments such as temperature, pressure and locations. Due to continuous changes in these values, and lim...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar
JAIR
1998
198views more  JAIR 1998»
13 years 7 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
ICRA
2009
IEEE
150views Robotics» more  ICRA 2009»
14 years 2 months ago
Analytic error variance predictions for planar vehicles
— Path planning algorithms that incorporate risk and uncertainty need to be able to predict the evolution of pathfollowing error statistics for each candidate plan. We present an...
Matthew Greytak, Franz Hover
VLDB
2005
ACM
140views Database» more  VLDB 2005»
14 years 1 months ago
OLAP Over Uncertain and Imprecise Data
We extend the OLAP data model to represent data ambiguity, specifically imprecision and uncertainty, and introduce an allocation-based approach to the semantics of aggregation qu...
Douglas Burdick, Prasad Deshpande, T. S. Jayram, R...