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160
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BMCBI
2007
215views more  BMCBI 2007»
15 years 3 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
231
Voted
ICDE
2006
IEEE
201views Database» more  ICDE 2006»
16 years 5 months ago
Counting at Large: Efficient Cardinality Estimation in Internet-Scale Data Networks
Counting in general, and estimating the cardinality of (multi-) sets in particular, is highly desirable for a large variety of applications, representing a foundational block for ...
Nikos Ntarmos, Peter Triantafillou, Gerhard Weikum
133
Voted
WWW
2010
ACM
15 years 10 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
144
Voted
BMCBI
2006
94views more  BMCBI 2006»
15 years 3 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
142
Voted
MOBICOM
2006
ACM
15 years 9 months ago
Electromagnetic communications within swarms of autonomous underwater vehicles
Autonomous underwater vehicles (AUVs) have great value as platforms for sensors. While traditional AUVs have been large platforms that tend to operate alone or in very small group...
Michael R. Frater, Michael J. Ryan, Robin M. Dunba...