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RAID
2004
Springer
14 years 1 months ago
Anomaly Detection Using Layered Networks Based on Eigen Co-occurrence Matrix
Anomaly detection is a promising approach to detecting intruders masquerading as valid users (called masqueraders). It creates a user profile and labels any behavior that deviates...
Mizuki Oka, Yoshihiro Oyama, Hirotake Abe, Kazuhik...
ANSS
1998
IEEE
14 years 5 hour ago
On Interval Weighted Three-Layer Neural Networks
In solving application problems, the data sets used to train a neural network may not be hundred percent precise but within certain ranges. Representing data sets with intervals, ...
Mohsen Beheshti, Ali Berrached, André de Ko...
CORR
2008
Springer
80views Education» more  CORR 2008»
13 years 7 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
ACL
2011
12 years 11 months ago
Peeling Back the Layers: Detecting Event Role Fillers in Secondary Contexts
The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event e...
Ruihong Huang, Ellen Riloff
INFOCOM
2006
IEEE
14 years 1 months ago
Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks
Abstract— This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constrai...
Lijun Chen, Steven H. Low, Mung Chiang, John C. Do...