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» On Information Regularization
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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
14 years 1 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
14 years 1 months ago
Hierarchy-Regularized Latent Semantic Indexing
Organizing textual documents into a hierarchical taxonomy is a common practice in knowledge management. Beside textual features, the hierarchical structure of directories reflect...
Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, V...
WEBDB
2000
Springer
136views Database» more  WEBDB 2000»
13 years 11 months ago
An Optimization Technique for Answering Regular Path Queries
Rewriting queries using views is a powerful technique that has applications in data integration, data warehousing and query optimization. Query rewriting in relational databases i...
Gösta Grahne, Alex Thomo
CSDA
2007
128views more  CSDA 2007»
13 years 7 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
ICASSP
2011
IEEE
12 years 11 months ago
Multi-graph regularization for efficient delivery of user generated content in online social networks
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
Jacob Chakareski