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» Evaluating algorithms that learn from data streams
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MM
2010
ACM
198views Multimedia» more  MM 2010»
15 years 7 months ago
Social pixels: genesis and evaluation
Huge amounts of social multimedia is being created daily by a combination of globally distributed disparate sensors, including human-sensors (e.g. tweets) and video cameras. Taken...
Vivek K. Singh, Mingyan Gao, Ramesh Jain
SIGMOD
2010
ACM
267views Database» more  SIGMOD 2010»
15 years 11 months ago
Processing proximity relations in road networks
Applications ranging from location-based services to multi-player online gaming require continuous query support to monitor, track, and detect events of interest among sets of mov...
Zhengdao Xu, Hans-Arno Jacobsen
ECAI
2006
Springer
15 years 10 months ago
Patch Learning for Incremental Classifier Design
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
Rudy Sicard, Thierry Artières, Eric Petit
LREC
2010
163views Education» more  LREC 2010»
15 years 8 months ago
Socially Driven Ontology Enrichment for eLearning
One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learner...
Paola Monachesi, Thomas Markus
BMCBI
2010
115views more  BMCBI 2010»
15 years 6 months ago
Machine learning methods for metabolic pathway prediction
Background: A key challenge in systems biology is the reconstruction of an organism's metabolic network from its genome sequence. One strategy for addressing this problem is ...
Joseph M. Dale, Liviu Popescu, Peter D. Karp