161 search results - page 2 / 33 » A Multiple Resampling Method for Learning from Imbalanced Da... |
FLAIRS
2007
13 years 7 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...
CSL
2006
Springer
13 years 5 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...
ICAI
2004
13 years 6 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
NCA
2007
IEEE
13 years 4 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
AI
2001
Springer
13 years 9 months ago
2001
Springer
We present our experience in applying a rule induction technique to an extremely imbalanced pharmaceutical data set. We focus on using a variety of performance measures to evaluate...