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» Learning from Highly Structured Data by Decomposition
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BMCBI
2011
14 years 8 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto
IMC
2005
ACM
15 years 10 months ago
Exploiting Underlying Structure for Detailed Reconstruction of an Internet-scale Event
Network “telescopes” that record packets sent to unused blocks of Internet address space have emerged as an important tool for observing Internet-scale events such as the spre...
Abhishek Kumar, Vern Paxson, Nicholas Weaver
ISVC
2007
Springer
15 years 10 months ago
Fast kd -Tree Construction for 3D-Rendering Algorithms Like Ray Tracing
Many computer graphics rendering algorithms and techniques use ray tracing for generation of natural and photo-realistic images. The efficiency of the ray tracing algorithms depend...
Sajid Hussain, Håkan Grahn
ASC
2008
15 years 4 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
ICML
2002
IEEE
16 years 5 months ago
Pruning Improves Heuristic Search for Cost-Sensitive Learning
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
Valentina Bayer Zubek, Thomas G. Dietterich