83 search results - page 1 / 17 » Building Useful Models from Imbalanced Data with Sampling an... |
94
Voted
FLAIRS
2008
15 years 17 days ago
2008
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
90
Voted
CSL
2006
Springer
14 years 10 months ago
2006
Springer
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
97
Voted
FLAIRS
2008
15 years 17 days ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...
111
Voted
SIGKDD
2008
14 years 10 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
TNN
2010
14 years 5 months ago
2010
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...