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» Modeling and Analysis of Probabilistic Timed Systems
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IAAI
1993
13 years 10 months ago
Dodger, a Diagnostic Expert System for the Evaluation of Nondestructive Test Data
Identification and characterization of indications in eddy current (ET) signals can be highly subjective in nature, with varying diagnoses made by different analysts or by a singl...
Arthur J. Levy, Jane E. Oppenlander, David M. Brud...
DFG
2009
Springer
14 years 3 months ago
A Survey on Approximation Algorithms for Scheduling with Machine Unavailability
In this chapter we present recent contributions in the field of sequential job scheduling on network machines which work in parallel; these are subject to temporary unavailability...
Florian Diedrich, Klaus Jansen, Ulrich M. Schwarz,...
IJCNN
2007
IEEE
14 years 3 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
ISIPTA
2005
IEEE
125views Mathematics» more  ISIPTA 2005»
14 years 2 months ago
Evidential modeling for pose estimation
Pose estimation involves reconstructing the configuration of a moving body from images sequences. In this paper we present a general framework for pose estimation of unknown obje...
Fabio Cuzzolin, Ruggero Frezza
IRFC
2010
Springer
13 years 7 months ago
An Information Retrieval Model Based on Discrete Fourier Transform
Abstract. Information Retrieval (IR) systems combine a variety of techniques stemming from logical, vector-space and probabilistic models. This variety of combinations has produced...
Alberto Costa, Massimo Melucci