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TKDE
2008
121views more  TKDE 2008»
13 years 9 months ago
Schema Matching Using Interattribute Dependencies
Schema matching is one of the key challenges in information integration. It is a labor-intensive and time-consuming process. To alleviate the problem, many automated solutions have...
Jaewoo Kang, Jeffrey F. Naughton
JMLR
2002
106views more  JMLR 2002»
13 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
KBS
2002
88views more  KBS 2002»
13 years 9 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
TIP
2008
195views more  TIP 2008»
13 years 9 months ago
Image Coding Using Dual-Tree Discrete Wavelet Transform
In this paper, we explore the application of 2-D dual-tree discrete wavelet transform (DDWT), which is a directional and redundant transform, for image coding. Three methods for sp...
Jingyu Yang, Yao Wang, Wenli Xu, Qionghai Dai
JCP
2008
114views more  JCP 2008»
13 years 8 months ago
A Novel Feature Selection Algorithm Based on Hypothesis-Margin
Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: (1) the previously proposed model...
Ming Yang, Fei Wang, Ping Yang