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» Using model knowledge for learning inverse dynamics
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152
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NN
2010
Springer
225views Neural Networks» more  NN 2010»
15 years 1 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
142
Voted
JIKM
2008
98views more  JIKM 2008»
15 years 2 months ago
Knowledge-Based Expert System Development and Validation with Petri Nets
Expert systems (ESs) are complex information systems that are expensive to build and difficult to validate. Numerous knowledge representation strategies such as rules, semantic net...
Madjid Tavana
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 9 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
122
Voted
ML
2008
ACM
15 years 2 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
136
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LCPC
2007
Springer
15 years 8 months ago
Modeling Relations between Inputs and Dynamic Behavior for General Programs
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...
Xipeng Shen, Feng Mao