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RECOMB
2010
Springer
13 years 10 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...
KDD
2002
ACM
106views Data Mining» more  KDD 2002»
14 years 8 months ago
Selecting the right interestingness measure for association patterns
Many techniques for association rule mining and feature selection require a suitable metric to capture the dependencies among variables in a data set. For example, metrics such as...
Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
IDA
2009
Springer
13 years 6 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
CORR
2007
Springer
117views Education» more  CORR 2007»
13 years 8 months ago
Dependable k-coverage algorithms for sensor networks
– Redundant sensing capabilities are often required in sensor network applications due to various reasons, e.g. robustness, fault tolerance, or increased accuracy. At the same ti...
Simon Gyula, Miklós Molnár, Lá...
PDP
2008
IEEE
14 years 2 months ago
Internet-Scale Simulations of a Peer Selection Algorithm
The match between a peer-to-peer overlay and the physical Internet infrastructure is a constant issue. Time-constrained peer-to-peer applications such as live streaming systems ar...
Ali Boudani, Yiping Chen, Gilles Straub, Gwendal S...