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CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 8 months ago
Application of real rational modules in system identification
This paper introduces a real rational module framework in the context of Prediction Error Identification using Box-Jenkins model structures. This module framework, which can easily...
Tzvetan Ivanov, Pierre-Antoine Absil, Brian D. O. ...
AMOST
2005
ACM
15 years 8 months ago
Early estimation of defect density using an in-process Haskell metrics model
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software d...
Mark Sherriff, Nachiappan Nagappan, Laurie A. Will...
COLT
2008
Springer
15 years 8 months ago
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs
Prediction from expert advice is a fundamental problem in machine learning. A major pillar of the field is the existence of learning algorithms whose average loss approaches that ...
Elad Hazan, Satyen Kale
JIKM
2006
167views more  JIKM 2006»
15 years 6 months ago
Learning Trajectory Information with Neural Networks and the Markov Model to Develop Intelligent Location-Based Services
In the development of location-based services, various location-sensing techniques and experimental/commercial services have been used. However, conventional location-based service...
Sang-Jun Han, Sung-Bae Cho
ENGL
2007
81views more  ENGL 2007»
15 years 6 months ago
Computational Comparisons of GPC and NGPC Schemes
—In this paper the GPC and NGPC model predictive control techniques are applied to a typical plant and compared in terms of computational efficiency. The system identification an...
D. N. Rao, M. R. K. Murthy, D. N. Harshal, S. R. M...