6715 search results - page 200 / 1343 » Learning from a Test Set |
146
Voted
KAIS
2010
15 years 1 months ago
2010
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
137
Voted
EMNLP
2009
15 years 1 months ago
2009
Computing the pairwise semantic similarity between all words on the Web is a computationally challenging task. Parallelization and optimizations are necessary. We propose a highly...
127
Voted
ICDM
2009
IEEE
15 years 1 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
128
Voted
EMNLP
2006
15 years 4 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
144
Voted
IJCAI
2003
15 years 4 months ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...