1628 search results - page 292 / 326 » Partitioning Sets with Genetic Algorithms |
ICML
2006
IEEE
14 years 10 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
ICDCS
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract: Current peer-to-peer systems are network-agnostic, often generating large volumes of unnecessary inter-ISP traffic. Although recent work has shown the benefits of ISP-a...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
DASFAA
2006
IEEE
14 years 3 months ago
2006
IEEE
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...