1950 search results - page 80 / 390 » Informative sampling for large unbalanced data sets |
98
Voted
JIFS
2008
15 years 1 months ago
2008
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
VLDB
1997
ACM
15 years 5 months ago
1997
ACM
Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
121
click to vote
BMCBI
2006
15 years 1 months ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
117
Voted
AUSDM
2008
Springer
15 years 3 months ago
2008
Springer
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
132
Voted
BMCBI
2008
15 years 1 months ago
2008
Background: Recent progresses in genotyping technologies allow the generation high-density genetic maps using hundreds of thousands of genetic markers for each DNA sample. The ava...