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RECOMB
2000
Springer
15 years 4 months ago
Using Bayesian networks to analyze expression data
DNA hybridization arrays simultaneously measure the expression level for thousands of genes. These measurements provide a "snapshot" of transcription levels within the c...
Nir Friedman, Michal Linial, Iftach Nachman, Dana ...
ECSQARU
2005
Springer
15 years 6 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
109
Voted
IMC
2010
ACM
14 years 10 months ago
Temporally oblivious anomaly detection on large networks using functional peers
Previous methods of network anomaly detection have focused on defining a temporal model of what is "normal," and flagging the "abnormal" activity that does not...
Kevin M. Carter, Richard Lippmann, Stephen W. Boye...
CSREAPSC
2006
15 years 2 months ago
Sensor Network Lab Exercises Using TinyOS and MicaZ Motes
- MIT Technology Review lists sensor networks as one of "Ten Emerging Technologies That Will Change the World" [1]. This paper describes three lab exercises that are suit...
Jens Mache, Chris Allick, John Charnas, Alex Hickm...
101
Voted
ICWN
2007
15 years 2 months ago
Sensor Network Lab Exercises Using TinyOS and MicaZ Motes, Part II
Abstract MIT Technology Review lists sensor networks as one of “Ten Emerging Technologies That Will Change the World” [1]. This paper extends our earlier paper [7], and describ...
Jens Mache, Elgin Dean, Kevin Imber