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» Representing and generating uncertainty effectively
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ICIAP
2009
ACM
15 years 11 months ago
A New Generative Feature Set Based on Entropy Distance for Discriminative Classification
Abstract. Score functions induced by generative models extract fixeddimensions feature vectors from different-length data observations by subsuming the process of data generation, ...
Alessandro Perina, Marco Cristani, Umberto Castell...
IRI
2008
IEEE
15 years 5 months ago
An algorithm for activation timed influence nets
Activation Timed Influence Net (ATIN) is a term representing a progressively evolving sequence of actions, where the effects of an action become the preconditions of the action th...
Panayota Papantoni-Kazakos, Abbas K. Zaidi, M. Far...
COMPLEX
2009
Springer
15 years 5 months ago
Designing Capital-Intensive Systems with Architectural and Operational Flexibility Using a Screening Model
: Development of capital intensive systems, such as offshore oil platforms or other industrial infrastructure, generally requires a significant amount of capital investment under v...
Jijun Lin, Olivier de Weck, Richard de Neufville, ...
AR
2005
132views more  AR 2005»
14 years 11 months ago
Active compliant motion: a survey
Whether they are asked to polish or assemble parts, clean the house or open doors, the future generation of robots will have to cope with contact tasks under uncertainty in a stabl...
Tine Lefebvre, Jing Xiao, Herman Bruyninckx, Gudru...
TIM
2010
144views Education» more  TIM 2010»
14 years 5 months ago
Extending Polynomial Chaos to Include Interval Analysis
Polynomial chaos theory (PCT) has been proven to be an efficient and effective way to represent and propagate uncertainty through system models and algorithms in general. In partic...
Antonello Monti, Ferdinanda Ponci, Marco Valtorta