118 search results - page 10 / 24 » Unlabeled data improves word prediction |
118
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RAS
2008
15 years 1 months ago
2008
This work investigates the use of semantic information to link ground level occupancy maps and aerial images. A ground level semantic map, which shows open ground and indicates th...
120
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MLDM
2007
Springer
15 years 8 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 (...
106
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DIS
2009
Springer
15 years 8 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
141
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AAAI
2008
15 years 4 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 ...
120
Voted
DIS
2009
Springer
15 years 8 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...