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SEMWEB
2007
Springer
13 years 11 months ago
Approximate Measures of Semantic Dissimilarity under Uncertainty
Abstract. We propose semantic distance measures based on the criterion of approximate discernibility and on evidence combination. In the presence of incomplete knowledge, the dista...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ISIPTA
2005
IEEE
143views Mathematics» more  ISIPTA 2005»
13 years 10 months ago
A Granular Semantics for Fuzzy Measures and its Application to Climate Change Scenarios
A granular based semantics for fuzzy measures is introduced in which the measure of a set of propositions approximates the probability of the disjunction of these propositions. Th...
Jonathan Lawry, Jim Hall, Guangtao Fu
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 4 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
ASPDAC
2008
ACM
174views Hardware» more  ASPDAC 2008»
13 years 6 months ago
Chebyshev Affine Arithmetic based parametric yield prediction under limited descriptions of uncertainty
In modern circuit design, it is difficult to provide reliable parametric yield prediction since the real distribution of process data is hard to measure. Most existing approaches ...
Jin Sun, Yue Huang, Jun Li, Janet Meiling Wang
RSS
2007
176views Robotics» more  RSS 2007»
13 years 6 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...