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AAAI
2008
13 years 10 months ago
Transfer Learning via Dimensionality Reduction
Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the train...
Sinno Jialin Pan, James T. Kwok, Qiang Yang
AAAI
2007
13 years 10 months ago
Real Arguments Are Approximate Arguments
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting a...
Anthony Hunter
ECCV
2010
Springer
13 years 10 months ago
Descriptor Learning for Efficient Retrieval
Many visual search and matching systems represent images using sparse sets of "visual words": descriptors that have been quantized by assignment to the best-matching symb...
APPROX
2008
Springer
127views Algorithms» more  APPROX 2008»
13 years 10 months ago
Approximating Single Machine Scheduling with Scenarios
In the field of robust optimization, the goal is to provide solutions to combinatorial problems that hedge against variations of the numerical parameters. This constitutes an effor...
Monaldo Mastrolilli, Nikolaus Mutsanas, Ola Svenss...
ATAL
2008
Springer
13 years 10 months ago
Tags and image scoring for robust cooperation
Establishing and maintaining cooperation is an enduring problem in multi-agent systems and, although several solutions exist, the increased use of online trading systems, peerto-p...
Nathan Griffiths