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» A Possible World Approach to Uncertain Relational Data
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COLING
2010
13 years 2 months ago
Boosting Relation Extraction with Limited Closed-World Knowledge
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...
JUCS
2010
100views more  JUCS 2010»
13 years 5 months ago
Spatial Reasoning with Integrated Qualitative-Metric Fuzzy Constraint Networks
Abstract: Qualitative Spatial Reasoning can be greatly improved if metric information can be represented and reasoning can be performed on it; moreover, modelling vagueness and unc...
Marco Falda
GIS
2006
ACM
14 years 8 months ago
Modeling and querying uncertain spatial information for situational awareness applications
Situational awareness (SA) applications monitor the real world and the entities therein to support tasks such as rapid decision-making, reasoning, and analysis. Raw input about un...
Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra,...
MP
2006
110views more  MP 2006»
13 years 7 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski
JAPLL
2008
121views more  JAPLL 2008»
13 years 7 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli