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» A Data Locality Optimizing Algorithm
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NIPS
2003
15 years 6 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
VLDB
2000
ACM
129views Database» more  VLDB 2000»
15 years 8 months ago
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
Strict consistency of replicated data is infeasible or not required by many distributed applications, so current systems often permit stale replication, in which cached copies of ...
Chris Olston, Jennifer Widom
COMCOM
2006
147views more  COMCOM 2006»
15 years 5 months ago
Coverage-adaptive random sensor scheduling for application-aware data gathering in wireless sensor networks
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...
Wook Choi, Sajal K. Das
EOR
2007
133views more  EOR 2007»
15 years 4 months ago
Using genetic algorithm for dynamic and multiple criteria web-site optimizations
In today’s competitive electronic marketplace, companies try to create long-lasting relations with their online customers. Log files and registration forms generate millions of...
Arben Asllani, Alireza Lari
ICUMT
2009
15 years 2 months ago
SBCL - improved centroid estimation
Localization of sensor nodes is one of the key issues in Wireless Sensor Networks. It is a precondition for a variety of applications, as well as geographic clustering and routing....
Ralf Behnke, Jakob Salzmann, Dirk Timmermann