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» Incorporating prior knowledge in fuzzy model identification
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IJSYSC
2000
67views more  IJSYSC 2000»
13 years 7 months ago
Incorporating prior knowledge in fuzzy model identification
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
János Abonyi, Robert Babuska, Henk B. Verbr...
ICML
2009
IEEE
14 years 8 months ago
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
Users of topic modeling methods often have knowledge about the composition of words that should have high or low probability in various topics. We incorporate such domain knowledg...
David Andrzejewski, Xiaojin Zhu, Mark Craven
IFSA
2003
Springer
101views Fuzzy Logic» more  IFSA 2003»
14 years 20 days ago
Commutativity as Prior Knowledge in Fuzzy Modeling
In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the available data are often n...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
SIGIR
2009
ACM
14 years 2 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
ML
2008
ACM
162views Machine Learning» more  ML 2008»
13 years 7 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch