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SIGKDD
2008
138views more  SIGKDD 2008»
14 years 9 months ago
Learning preferences of new users in recommender systems: an information theoretic approach
Recommender systems are a nice tool to help nd items of interest from an overwhelming number of available items. Collaborative Filtering (CF), the best known technology for recomme...
Al Mamunur Rashid, George Karypis, John Riedl
79
Voted
ECML
2007
Springer
15 years 3 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
90
Voted
EDM
2010
170views Data Mining» more  EDM 2010»
14 years 11 months ago
Online Curriculum Planning Behavior of Teachers
Curriculum planning is perhaps one of the most important tasks teachers must perform before instruction. While this task is facilitated by a wealth of existing online tools and res...
Keith E. Maull, Manuel Gerardo Saldivar, Tamara Su...
IPPS
2006
IEEE
15 years 3 months ago
Real-time task mapping and scheduling for collaborative in-network processing in DVS-enabled wireless sensor networks
With the increasing importance of energy consumption considerations and new requirements of emerging applications, in-network processing of information gains recognition as a viab...
Yuan Tian, J. Boangoat, Eylem Ekici, Füsun &O...
100
Voted
IEEECIT
2010
IEEE
14 years 8 months ago
Metadata-Based Adaptive Sampling for Energy-Efficient Collaborative Target Tracking in Wireless Sensor Networks
—The increasingly complex roles for which Wireless Sensor Networks (WSNs) are being employed have driven the desire for energy-efficient reliable target tracking. In this paper, ...
Yousef E. M. Hamouda, Chris Phillips