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» Using model knowledge for learning inverse dynamics
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ECIS
2004
15 years 4 months ago
To play, or not to play: building a learning environment through computer simulations
This article analyzes the impact of a computer simulation (business game) on the users' perceived learning. The theoretical model developed in this paper is derived from the ...
Luigi Proserpio, Magni Magni
155
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NMR
2004
Springer
15 years 8 months ago
Belief dynamics and defeasible argumentation in rational agents
The BDI model provides what it is possibly one of the most promising architectures for the development of intelligent agents, and has become one of the most studied and well known...
Marcelo A. Falappa, Alejandro Javier García...
137
Voted
ICML
2008
IEEE
16 years 4 months ago
Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
Aapo Hyvärinen, Patrik O. Hoyer, Shohei Shimi...
174
Voted
BMCBI
2008
134views more  BMCBI 2008»
15 years 3 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
NIPS
2003
15 years 4 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc