185 search results - page 7 / 37 » Learning with Few Examples by Transferring Feature Relevance |
ICDM
2007
IEEE
15 years 3 months ago
2007
IEEE
The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
PKDD
2004
Springer
15 years 2 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
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ICMCS
2000
IEEE
15 years 2 months ago
2000
IEEE
Relevance feedback [1] has been a powerful tool for interactive Content-Based Image Retrieval (CBIR). During the retrieval process, the user selects the most relevant images and p...
SIGIR
2012
ACM
13 years 11 hour ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...