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ATAL
2007
Springer
15 years 3 months ago
Batch reinforcement learning in a complex domain
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...
Shivaram Kalyanakrishnan, Peter Stone
ASPLOS
2004
ACM
15 years 3 months ago
Formal online methods for voltage/frequency control in multiple clock domain microprocessors
Multiple Clock Domain (MCD) processors are a promising future alternative to today’s fully synchronous designs. Dynamic Voltage and Frequency Scaling (DVFS) in an MCD processor ...
Qiang Wu, Philo Juang, Margaret Martonosi, Douglas...
CCS
2008
ACM
14 years 11 months ago
Flexible and secure enterprise rights management based on trusted virtual domains
The requirements for secure document workflows in enterprises become increasingly sophisticated, with employees performing different tasks under different roles using the same pro...
Yacine Gasmi, Ahmad-Reza Sadeghi, Patrick Stewin, ...
CVPR
2006
IEEE
15 years 11 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
SMA
2003
ACM
138views Solid Modeling» more  SMA 2003»
15 years 3 months ago
Associativity between feature models across domains
Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. This is an importan...
S. Subramani, Balan Gurumoorthy