201 search results - page 5 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
MLDM
2007
Springer
14 years 1 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
AAAI
2008
13 years 10 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
JCST
2011
13 years 2 months ago
2011
Software defect detection aims to automatically identify defective software modules for efficient software test in order to improve the quality of a software system. Although many...