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» A Structural Induction Theorem for Processes
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TVLSI
2002
78views more  TVLSI 2002»
13 years 7 months ago
Managing on-chip inductive effects
With process technology and functional integration advancing steadily, chips are continuing to grow in area while critical dimensions are shrinking. This has led to the emergence o...
Yehia Massoud, Steve S. Majors, Jamil Kawa, Tareq ...
NIPS
2000
13 years 8 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
ICML
2006
IEEE
14 years 8 months ago
Learning the structure of Factored Markov Decision Processes in reinforcement learning problems
Recent decision-theoric planning algorithms are able to find optimal solutions in large problems, using Factored Markov Decision Processes (fmdps). However, these algorithms need ...
Thomas Degris, Olivier Sigaud, Pierre-Henri Wuille...
AAAI
2012
11 years 9 months ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
ICML
2005
IEEE
14 years 8 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...