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128
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ICML
2004
IEEE
16 years 3 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
ICCAD
2007
IEEE
87views Hardware» more  ICCAD 2007»
15 years 11 months ago
Optimal polynomial-time interprocedural register allocation for high-level synthesis and ASIP design
—Register allocation, in high-level synthesis and ASIP design, is the process of determining the number of registers to include in the resulting circuit or processor. The goal is...
Philip Brisk, Ajay K. Verma, Paolo Ienne
105
Voted
DAC
2000
ACM
15 years 7 months ago
Model-based dummy feature placement for oxide chemical-mechanical polishing manufacturability
—Chemical–mechanical polishing (CMP) is an enabling technique used in deep-submicrometer VLSI manufacturing to achieve long range oxide planarization. Post-CMP oxide topography...
Ruiqi Tian, D. F. Wong, Robert Boone
135
Voted
AAAI
1996
15 years 3 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
123
Voted
IJHPCA
2008
151views more  IJHPCA 2008»
15 years 2 months ago
WE-AMBLE: a Workflow Engine To Manage Awareness in Collaborative Grid Environments
Grid computing intends to share heterogeneous resources in dynamic service-based environments. This kind of systems has the major advantages of enabling rapid composition of distr...
Pilar Herrero, José Luis Bosque, Manuel Sal...