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» Proactive Network Maintenance Using Machine Learning
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118
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CCS
2010
ACM
15 years 4 months ago
PinDr0p: using single-ended audio features to determine call provenance
The recent diversification of telephony infrastructure allows users to communicate through landlines, mobile phones and VoIP phones. However, call metadata such as Caller-ID is ei...
Vijay A. Balasubramaniyan, Aamir Poonawalla, Musta...
114
Voted
ML
2006
ACM
15 years 9 months ago
ML grid programming with ConCert
Grid computing has become increasingly popular with the growth of the Internet, especially in large-scale scientific computation. Computational Grids are characterized by their s...
Tom Murphy VII
115
Voted
EDUTAINMENT
2006
Springer
15 years 7 months ago
Computer-Assisted Teaching in Class Situation: A High-School Math Lab on Vectors
This paper presents our design and experiment of a computer-assisted class laboratory on vectors in high-school. Our main goal is to improve the acquisition on notions by all pupi...
Maud Marchal, Peggy Provent, Frederic Ruyer, Pirou...
139
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks
—Dynamic spectrum access has been proposed as a means to share scarce radio resources, and requires devices to follow protocols that use resources in a proper, disciplined manner...
Song Liu, Yingying Chen, Wade Trappe, Larry J. Gre...
ICML
1998
IEEE
16 years 4 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...