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KDD
2010
ACM
247views Data Mining» more  KDD 2010»
15 years 5 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 3 months ago
Learning from multi-topic web documents for contextual advertisement
Contextual advertising on web pages has become very popular recently and it poses its own set of unique text mining challenges. Often advertisers wish to either target (or avoid) ...
Yi Zhang, Arun C. Surendran, John C. Platt, Mukund...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
15 years 9 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
160
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AROBOTS
2007
159views more  AROBOTS 2007»
15 years 3 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
AGENTS
2000
Springer
15 years 7 months ago
Adaptive Trust and Co-operation: An Agent-Based Simulation Approach
This paper extends earlier work in the use of ‘Agent-based Computational Economics’ (ACE) for modelling the development of co-operation between firms. Inter-firm relations hav...
Bart Nooteboom, Tomas Klos, René J. Jorna