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SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
13 years 5 months ago
Semantic Smoothing for Bayesian Text Classification with Small Training Data
Bayesian text classifiers face a common issue which is referred to as data sparsity problem, especially when the size of training data is very small. The frequently used Laplacian...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
IMR
2000
Springer
13 years 8 months ago
An Angle-Based Approach to Two-Dimensional Mesh Smoothing
We present an effective and easy-to-implement angle-based smoothing scheme for triangular, quadrilateral and tri-quad mixed meshes. For each mesh node our algorithm compares all t...
Tian Zhou, Kenji Shimada
ICML
2007
IEEE
14 years 5 months ago
Learning random walks to rank nodes in graphs
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
Alekh Agarwal, Soumen Chakrabarti