224 search results - page 20 / 45 » Supervised clustering with support vector machines |
DATAMINE
2002
13 years 7 months ago
2002
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
GECCO
2005
Springer
14 years 28 days ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Semi-Supervised Support Vector Machines (S3VMs) typically directly estimate the label assignments for the unlabeled instances. This is often inefficient even with recent advances ...
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...