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» Structural Inference of Hierarchies in Networks
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RECOMB
2010
Springer
15 years 3 months ago
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning
In this work we consider an inference task that biologists are very good at: deciphering biological processes by bringing together knowledge that has been obtained by experiments u...
Christian Widmer, Jose Leiva, Yasemin Altun, Gunna...
BMCBI
2008
132views more  BMCBI 2008»
15 years 1 months ago
Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Raffaele Giancarlo, Davide Scaturro, Filippo Utro
SIGCOMM
2009
ACM
15 years 8 months ago
Beyond friendship graphs: a study of user interactions in Flickr
Most of the existing literature on empirical studies of Online Social Networks (OSNs) have focused on characterizing and modeling the structure of their inferred friendship graphs...
Masoud Valafar, Reza Rejaie, Walter Willinger
ISLPED
2003
ACM
115views Hardware» more  ISLPED 2003»
15 years 6 months ago
Reducing energy and delay using efficient victim caches
In this paper, we investigate methods for improving the hit rates in the first level of memory hierarchy. Particularly, we propose victim cache structures to reduce the number of ...
Gokhan Memik, Glenn Reinman, William H. Mangione-S...
ICML
2006
IEEE
16 years 2 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...