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» Constrained Classification on Structured Data
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PVLDB
2008
107views more  PVLDB 2008»
13 years 7 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
CIKM
2008
Springer
13 years 10 months ago
Academic conference homepage understanding using constrained hierarchical conditional random fields
We address the problem of academic conference homepage understanding for the Semantic Web. This problem consists of three labeling tasks - labeling conference function pages, func...
Xin Xin, Juanzi Li, Jie Tang, Qiong Luo
ICML
2007
IEEE
14 years 9 months ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
ERCIMDL
2005
Springer
100views Education» more  ERCIMDL 2005»
14 years 2 months ago
Importance of HTML Structural Elements and Metadata in Automated Subject Classification
The aim of the study was to determine how significance indicators assigned to different Web page elements (internal metadata, title, headings, and main text) influence automated cl...
Koraljka Golub, Anders Ardö
ISCI
2006
96views more  ISCI 2006»
13 years 8 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas