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» Learning the Daily Model of Network Traffic
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IMC
2010
ACM
13 years 5 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...
ICANN
2001
Springer
14 years 1 days ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
GIS
2009
ACM
14 years 5 days ago
Machine learning approach to report prioritization with an application to travel time dissemination
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
Piotr Szczurek, Bo Xu, Jie Lin, Ouri Wolfson
CSE
2009
IEEE
13 years 8 months ago
Time Critical Content Delivery Using Predictable Patterns in Mobile Social Networks
In Mobile Social Networks (MSN) individuals with similar interests or commonalities connect to each other using the mobile phones. MSN are special kind of Ad-hoc Networks in which ...
Fawad Nazir, Jianhua Ma, Aruna Seneviratne
ICML
2007
IEEE
14 years 8 months ago
Conditional random fields for multi-agent reinforcement learning
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanat...