941 search results - page 108 / 189 » Adaptive Learning from Evolving Data Streams |
124
Voted
KDD
2009
ACM
16 years 1 months ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
106
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IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
116
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KDD
2002
ACM
16 years 1 months ago
2002
ACM
This paper presents an approach to automatically optimizing the retrieval quality of search engines using clickthrough data. Intuitively, a good information retrieval system shoul...
117
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
114
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Learning to cope with domain change has been known
as a challenging problem in many real-world applications.
This paper proposes a novel and efficient approach, named
domain ada...