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SIGPRO
2008
151views more  SIGPRO 2008»
13 years 9 months ago
An adaptive penalized maximum likelihood algorithm
The LMS algorithm is one of the most popular learning algorithms for identifying an unknown system. Many variants of the algorithm have been developed based on different problem f...
Guang Deng, Wai-Yin Ng
STOC
2002
ACM
118views Algorithms» more  STOC 2002»
14 years 9 months ago
On the advantage over a random assignment
: We initiate the study of a new measure of approximation. This measure compares the performance of an approximation algorithm to the random assignment algorithm. This is a useful ...
Johan Håstad, Srinivasan Venkatesh
DSD
2006
IEEE
72views Hardware» more  DSD 2006»
14 years 3 months ago
A Monitoring-Aware Network-on-Chip Design Flow
Networks-on-chip (NoC) are a scalable interconnect solution for systems on chip and are rapidly becoming reality. Monitoring is a key enabler for debugging or performance analysis...
Calin Ciordas, Andreas Hansson, Kees Goossens, Twa...
JSW
2007
126views more  JSW 2007»
13 years 9 months ago
Supporting UML Sequence Diagrams with a Processor Net Approach
— UML sequence diagrams focus on the interaction between different classes. For distributed real time transaction processing it is possible to end up with complex sequence diagra...
Tony Spiteri Staines
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
13 years 7 months ago
Towards optimally efficient field estimation with threshold-based pruning in real robotic sensor networks
Abstract-- The efficiency of distributed sensor networks depends on an optimal trade-off between the usage of resources and data quality. The work in this paper addresses the probl...
Amanda Prorok, Christopher M. Cianci, Alcherio Mar...