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COLT
2008
Springer
15 years 8 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
ISTA
2004
15 years 8 months ago
An Approach to Advanced Data Synchronization in Complex Process Control Systems
Abstract: Nowadays for any kind of distributed and multi-level, i.e. complex information systems it is vitally important to represent its data resources in a homogenized form. This...
Dmytry V. Kuklenko, Rustam Gamzayev, V. Goloborodk...
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 8 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
JCB
2002
93views more  JCB 2002»
15 years 6 months ago
Unfolding of Microarray Data
The use of DNA microarrays for the analysis of complex biological samples is becoming a mainstream part of biomedical research. One of the most commonly used methods compares the ...
Andrew B. Goryachev, Pascale F. Macgregor, Aled M....
IWPC
2010
IEEE
15 years 5 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk