1006 search results - page 14 / 202 » A Case Study for Learning from Imbalanced Data Sets |
COLING
2010
13 years 2 months ago
2010
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
VISSYM
2003
13 years 9 months ago
2003
In this case study, we compare two methods for filtering external motion in time dependent volume data sets acquired from confocal microscopy. The pros and cons of a landmark bas...
CLADE
2004
IEEE
13 years 11 months ago
2004
IEEE
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
SIGMOD
2007
ACM
14 years 7 months ago
2007
ACM
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
CE
2008
13 years 7 months ago
2008
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...