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» A quantified distributed constraint optimization problem
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 11 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
ICCAD
2009
IEEE
117views Hardware» more  ICCAD 2009»
13 years 8 months ago
Binning optimization based on SSTA for transparently-latched circuits
With increasing process variation, binning has become an important technique to improve the values of fabricated chips, especially in high performance microprocessors where transpa...
Min Gong, Hai Zhou, Jun Tao, Xuan Zeng
JPDC
2006
187views more  JPDC 2006»
13 years 10 months ago
Maximum lifetime data sensing and extraction in energy constrained networked sensor systems
We focus on data gathering problems in energy constrained networked sensor systems. The system operates in rounds where a subset of the sensors generate a certain number of data p...
Bo Hong, Viktor K. Prasanna
KDD
2002
ACM
119views Data Mining» more  KDD 2002»
14 years 10 months ago
Evaluating classifiers' performance in a constrained environment
In this paper, we focus on methodology of finding a classifier with a minimal cost in presence of additional performance constraints. ROCCH analysis, where accuracy and cost are i...
Anna Olecka
CORR
2008
Springer
189views Education» more  CORR 2008»
13 years 10 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli