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» Learning to Control in Operational Space
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ICCAD
1994
IEEE
137views Hardware» more  ICCAD 1994»
15 years 8 months ago
Dynamic scheduling and synchronization synthesis of concurrent digital systems under system-level constraints
We present in this paper a novel control synthesis technique for system-level specifications that are better described as a set of concurrent synchronous descriptions, their synch...
Claudionor José Nunes Coelho Jr., Giovanni ...
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
JAIR
2008
157views more  JAIR 2008»
15 years 4 months ago
Learning to Reach Agreement in a Continuous Ultimatum Game
It is well-known that acting in an individually rational manner, according to the principles of classical game theory, may lead to sub-optimal solutions in a class of problems nam...
Steven de Jong, Simon Uyttendaele, Karl Tuyls
PLDI
2003
ACM
15 years 9 months ago
Meta optimization: improving compiler heuristics with machine learning
Compiler writers have crafted many heuristics over the years to approximately solve NP-hard problems efficiently. Finding a heuristic that performs well on a broad range of applic...
Mark Stephenson, Saman P. Amarasinghe, Martin C. M...
HOTOS
2003
IEEE
15 years 9 months ago
High Availability, Scalable Storage, Dynamic Peer Networks: Pick Two
Peer-to-peer storage aims to build large-scale, reliable and available storage from many small-scale unreliable, low-availability distributed hosts. Data redundancy is the key to ...
Charles Blake, Rodrigo Rodrigues