4660 search results - page 117 / 932 » Learning from imperfect data |
111
Voted
AAAI
1994
15 years 3 months ago
1994
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
125
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ITC
1995
IEEE
15 years 6 months ago
1995
IEEE
Real-world data is known to be imperfect, suffering from various forms of defects such as sensor variability, estimation errors, uncertainty, human errors in data entry, and gaps ...
121
Voted
MLG
2007
Springer
15 years 8 months ago
2007
Springer
: Network topology not only tells about tightly-connected “communities,” but also gives cues on more subtle properties of the vertices. We introduce a simple probabilistic late...
136
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ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
153
Voted
IJCAI
2001
15 years 4 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...