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KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
MOBIHOC
2004
ACM
16 years 7 months ago
Internal synchronization of drift-constraint clocks in ad-hoc sensor networks
Clock synchronization is a crucial basic service in typical sensor networks, since the observations of distributed sensors more often than not need to be ordered ("a happened...
Lennart Meier, Philipp Blum, Lothar Thiele
WWW
2009
ACM
16 years 2 months ago
Tagommenders: connecting users to items through tags
Tagging has emerged as a powerful mechanism that enables users to find, organize, and understand online entities. Recommender systems similarly enable users to efficiently navig...
Shilad Sen, Jesse Vig, John Riedl
SIGIR
2005
ACM
16 years 1 months ago
Exploiting the hierarchical structure for link analysis
Link analysis algorithms have been extensively used in Web information retrieval. However, current link analysis algorithms generally work on a flat link graph, ignoring the hiera...
Gui-Rong Xue, Qiang Yang, Hua-Jun Zeng, Yong Yu, Z...
ATAL
2006
Springer
15 years 11 months ago
Learning the task allocation game
The distributed task allocation problem occurs in domains like web services, the grid, and other distributed systems. In this problem, the system consists of servers and mediators...
Sherief Abdallah, Victor R. Lesser