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» A Modelling Framework for Functional Imagination
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SIAMIS
2010
167views more  SIAMIS 2010»
14 years 6 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 1 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. ...
EUSFLAT
2007
121views Fuzzy Logic» more  EUSFLAT 2007»
15 years 1 months ago
Modeling the Context in Multi-Criteria Decision Analysis
In Multiple Criteria Decision Analysis, the preferences of the decision maker regarding each criterion are classically modelled by a utility function depending on one single varia...
Christophe Labreuche
EMNLP
2007
15 years 1 months ago
Structured Prediction Models via the Matrix-Tree Theorem
This paper provides an algorithmic framework for learning statistical models involving directed spanning trees, or equivalently non-projective dependency structures. We show how p...
Terry Koo, Amir Globerson, Xavier Carreras, Michae...
TSMC
2008
89views more  TSMC 2008»
14 years 11 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang