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JMLR
2002
133views more  JMLR 2002»
13 years 7 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
TMA
2010
Springer
150views Management» more  TMA 2010»
13 years 5 months ago
A Database of Anomalous Traffic for Assessing Profile Based IDS
This paper aims at proposing a methodology for evaluating current IDS capabilities of detecting attacks targeting the networks and their services. This methodology tries to be as r...
Philippe Owezarski
ISBI
2002
IEEE
14 years 8 months ago
Capturing contextual dependencies in medical imagery using hierarchical multi-scale models
In this paper we summarize our results for two classes of hierarchical multi-scale models that exploit contextual information for detection of structure in mammographic imagery. T...
Paul Sajda, Clay Spence, Lucas C. Parra
VIZSEC
2005
Springer
14 years 1 months ago
IDS RainStorm: Visualizing IDS Alarms
The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and...
Kulsoom Abdullah, Christopher P. Lee, Gregory J. C...
IJNSEC
2008
131views more  IJNSEC 2008»
13 years 8 months ago
Performance Analysis of Soft Computing Based Anomaly Detectors
Anomaly detectors have become a necessary component of the computer and information security framework. Some of the numerous drawbacks experienced by the current Anomaly detectors...
N. Srinivasan, V. Vaidehi