Sciweavers

62 search results - page 2 / 13
» Limitations of Using Constraint Set Utility in Semi-Supervis...
Sort
View
CVPR
2009
IEEE
15 years 12 days ago
Regularized Multi-Class Semi-Supervised Boosting
Many semi-supervised learning algorithms only deal with binary classification. Their extension to the multi-class problem is usually obtained by repeatedly solving a set of bina...
Amir Saffari, Christian Leistner, Horst Bischof
CIKM
2004
Springer
13 years 10 months ago
Mining gene expression datasets using density-based clustering
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
Seokkyung Chung, Jongeun Jun, Dennis McLeod
ICDM
2008
IEEE
147views Data Mining» more  ICDM 2008»
13 years 11 months ago
Clustering Documents with Active Learning Using Wikipedia
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
GLOBECOM
2007
IEEE
13 years 11 months ago
Utilizing Semantic Tags for Policy Based Networking
Abstract— Policy based networks provide high levels of flexibility by allowing definition of packet handling rules within a network, resource allocation strategies, network man...
Sethuram Balaji Kodeswaran, Olga Ratsimor, Anupam ...
TKDE
2008
148views more  TKDE 2008»
13 years 5 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru