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ML
2012
ACM
413views Machine Learning» more  ML 2012»
14 years 1 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
INTEGRATION
2008
183views more  INTEGRATION 2008»
15 years 6 months ago
Network-on-Chip design and synthesis outlook
With the growing complexity in consumer embedded products, new tendencies forecast heterogeneous Multi-Processor SystemsOn-Chip (MPSoCs) consisting of complex integrated component...
David Atienza, Federico Angiolini, Srinivasan Mura...
ESWS
2004
Springer
15 years 11 months ago
Semantic Web Technologies for Economic and Financial Information Management
The field of economy and finance is a conceptually rich domain where information is complex, huge in volume and a highly valuable business product by itself. Novel management techn...
Pablo Castells, Borja Foncillas, Rubén Lara...
DAC
1997
ACM
15 years 10 months ago
Static Timing Analysis of Embedded Software
This paper examines the problem of statically analyzing the performance of embedded software. This problem is motivated by the increasing growth of embedded systems and a lack of ...
Sharad Malik, Margaret Martonosi, Yau-Tsun Steven ...
CP
2008
Springer
15 years 8 months ago
An Application of Constraint Programming to Superblock Instruction Scheduling
Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling ...
Abid M. Malik, Michael Chase, Tyrel Russell, Peter...