Sciweavers

1641 search results - page 124 / 329
» Termination Analysis with Algorithmic Learning
Sort
View
106
Voted
ICPR
2004
IEEE
16 years 4 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
146
Voted
BMCBI
2006
164views more  BMCBI 2006»
15 years 3 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
152
Voted
BMCBI
2006
119views more  BMCBI 2006»
15 years 3 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
143
Voted
ICML
2006
IEEE
16 years 4 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
105
Voted
ECML
2005
Springer
15 years 9 months ago
Annealed Discriminant Analysis
Abstract. Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of application. In this paper, ...
Gang Wang, Zhihua Zhang, Frederick H. Lochovsky