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SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
13 years 5 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
99
Voted
KDD
2002
ACM
93views Data Mining» more  KDD 2002»
16 years 3 months ago
Interactive deduplication using active learning
Deduplication is a key operation in integrating data from multiple sources. The main challenge in this task is designing a function that can resolve when a pair of records refer t...
Sunita Sarawagi, Anuradha Bhamidipaty
115
Voted
AINA
2010
IEEE
15 years 7 months ago
Active Data Selection for Sensor Networks with Faults and Changepoints
Abstract—We describe a Bayesian formalism for the intelligent selection of observations from sensor networks that may intermittently undergo faults or changepoints. Such active d...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
103
Voted
MASS
2010
15 years 14 days ago
Geography-aware active data dissemination in mobile social networks
Abstract--In mobile social networks (MSNets), data dissemination is an important topic, which has not been widely investigated yet. Active data dissemination is a networking paradi...
Jialu Fan, Yuan Du, Wei Gao, Jiming Chen, Youxian ...
GRID
2005
Springer
15 years 8 months ago
Protecting grid data transfer services with active network interfaces
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...