1180 search results - page 234 / 236 » An Instance Selection Approach to Multiple Instance Learning |
KDD
2005
ACM
14 years 1 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
SSPR
2004
Springer
14 years 27 days ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
MLDM
2009
Springer
14 years 3 days ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
JMLR
2012
11 years 10 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
BMCBI
2010
13 years 7 months ago
2010
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...