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» Classifying Problems into Complexity Classes
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DRR
2009
15 years 4 months ago
Using synthetic data safely in classification
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
Jean Nonnemaker, Henry Baird
INFOCOM
2012
IEEE
13 years 9 months ago
Block permutations in Boolean Space to minimize TCAM for packet classification
Packet classification is one of the major challenges in designing high-speed routers and firewalls as it involves sophisticated multi-dimensional searching. Ternary Content Address...
Rihua Wei, Yang Xu, H. Jonathan Chao
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
15 years 11 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
ICPR
2006
IEEE
16 years 7 months ago
Scene Identification using Discriminative Patterns
With the proliferation of camera phones, new information retrieval applications will emerge. The image of a scene captured by a camera phone can be a query to a remote server to i...
Jean-Pierre Chevallet, Joo-Hwee Lim, Sheng Gao
ICSM
2006
IEEE
16 years 14 days ago
Managing Concern Interfaces
Programming languages provide various mechanisms to support information hiding. One problem with information hiding, however, is that providing a stable interface behind which to ...
Jean-Sébastien Boulanger, Martin P. Robilla...