9 search results - page 1 / 2 » Boosting Unsupervised Competitive Learning Ensembles |
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
SIGKDD
2008
13 years 4 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
PAKDD
2004
ACM
13 years 10 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...