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» Classes and clusters in data analysis
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ATAL
2004
Springer
15 years 9 months ago
A Multi-Agent Systems Approach to Autonomic Computing
The goal of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. This paper presents Unity, a decentralize...
Gerald Tesauro, David M. Chess, William E. Walsh, ...
MASCOTS
2007
15 years 5 months ago
Improving the Performance of Passive Network Monitoring Applications using Locality Buffering
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
Antonis Papadogiannakis, Demetres Antoniades, Mich...
NIPS
2001
15 years 5 months ago
Algorithmic Luckiness
Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studi...
Ralf Herbrich, Robert C. Williamson
COR
2006
140views more  COR 2006»
15 years 4 months ago
Aggregation for the probabilistic traveling salesman problem
5 In the probabilistic traveling salesman problem (PTSP), customers require a visit with a given probability, and the best solution is the tour through all customers with the lowe...
Ann Melissa Campbell
PAMI
2010
260views more  PAMI 2010»
15 years 2 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang