1175 search results - page 34 / 235 » Experimental perspectives on learning from imbalanced data |
AAAI
1998
13 years 9 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
IDEAL
2005
Springer
14 years 1 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
CARS
2004
13 years 9 months ago
2004
An automatic computer-aided detection system is developed for detecting pulmonary nodules from high resolution CT data. The system is based on the concept of machine learning. A ro...
SEMWEB
2009
Springer
14 years 2 months ago
2009
Springer
The biomedical ontology community is producing ontologies which represent biological knowledge and with a bias towards a realist pe...
SIGSOFT
2009
ACM
14 years 8 months ago
2009
ACM
Software engineering researchers have long been interested in where and why bugs occur in code, and in predicting where they might turn up next. Historical bug-occurence data has ...