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» Domain Adaptation with Multiple Sources
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ICML
2003
IEEE
14 years 8 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
PERCOM
2010
ACM
13 years 6 months ago
Towards the adaptive integration of multiple context reasoners in pervasive computing environments
Abstract—The pervasive computing vision consists in realizing ubiquitous technologies to support the execution of people’s everyday tasks by proactively providing appropriate i...
Daniele Riboni, Linda Pareschi, Claudio Bettini
ALT
2009
Springer
13 years 11 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour
PAMI
2010
122views more  PAMI 2010»
13 years 6 months ago
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...
Lorenzo Bruzzone, Mattia Marconcini
ICASSP
2009
IEEE
14 years 2 months ago
Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation
We have implemented several fast and flexible adaptive lapped orthogonal transform (LOT) schemes for underdetermined audio source separation. This is generally addressed by time-...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley