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» Using model knowledge for learning inverse dynamics
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TFS
2008
123views more  TFS 2008»
13 years 8 months ago
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
RECSYS
2009
ACM
14 years 3 months ago
FeedbackTrust: using feedback effects in trust-based recommendation systems
With the advent of online social networks, the trust-based approach to recommendation has emerged which exploits the trust network among users and makes recommendations based on t...
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Ja...
ITS
2000
Springer
110views Multimedia» more  ITS 2000»
14 years 16 days ago
Limitations of Student Control: Do Students Know When They Need Help?
Intelligent tutoring systems often emphasize learner control: They let the students decide when and how to use the system's intelligent and unintelligent help facilities. This...
Vincent Aleven, Kenneth R. Koedinger
PAMI
2006
136views more  PAMI 2006»
13 years 8 months ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller
ESSMAC
2003
Springer
14 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith