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» On the Relative Hardness of Clustering Corpora
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RECOMB
2010
Springer
14 years 1 months ago
Hierarchical Generative Biclustering for MicroRNA Expression Analysis
Clustering methods are a useful and common first step in gene expression studies, but the results may be hard to interpret. We bring in explicitly an indicator of which genes tie ...
José Caldas, Samuel Kaski
ICPP
2002
IEEE
14 years 10 days ago
Honey, I Shrunk the Beowulf!
In this paper, we present a novel twist on the Beowulf cluster — the Bladed Beowulf. Designed by RLX Technologies and integrated and configured at Los Alamos National Laborator...
Wu-chun Feng, Michael S. Warren, Eric Weigle
ICC
2009
IEEE
190views Communications» more  ICC 2009»
13 years 5 months ago
Low Bound of Energy-Latency Trade-Off of Opportunistic Routing in Multi-Hop Networks
During the last decade, many works were devoted to improving the performance of relaying techniques in ad hoc networks. One promising approach consists in allowing the relay nodes ...
Ruifeng Zhang, Jean-Marie Gorce, Katia Jaffr&egrav...
SODA
1998
ACM
106views Algorithms» more  SODA 1998»
13 years 8 months ago
Greedy Strikes Back: Improved Facility Location Algorithms
A fundamental facility location problem is to choose the location of facilities, such as industrial plants and warehouses, to minimize the cost of satisfying the demand for some c...
Sudipto Guha, Samir Khuller
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 7 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo