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DAC
2009
ACM
16 years 7 months ago
Designing heterogeneous ECU networks via compact architecture encoding and hybrid timing analysis
In this paper, a design method for automotive architectures is proposed. The two main technical contributions are (i) a novel hardware/software architecture encoding that unifies ...
Jürgen Teich, Martin Lukasiewycz, Michael Gla...
ICML
2007
IEEE
16 years 7 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ICML
2007
IEEE
16 years 7 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
ICML
2006
IEEE
16 years 7 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
ICML
2005
IEEE
16 years 7 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...