571 search results - page 1 / 115 » Testing homogeneity of a large data set by bootstrapping |
MCS
2008
Springer
13 years 4 months ago
2008
Springer
DMKD
1997
ACM
13 years 8 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
ISMIR
2005
Springer
13 years 10 months ago
2005
Springer
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
TSE
2002
13 years 4 months ago
2002
Although there has been recent research into ways to design environments that enable end users to create their own programs, little attention has been given to helping these end u...
ACL
2004
13 years 6 months ago
2004
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...