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» Learning for Dynamic Subsumption
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118
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LCN
2005
IEEE
15 years 8 months ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
133
Voted
MICAI
2005
Springer
15 years 8 months ago
Modelling Human Intelligence: A Learning Mechanism
We propose a novel, high-level model of human learning and cognition, based on association forming. The model configures any input data stream featuring a high incidence of repeti...
Enrique Carlos Segura, Robin W. Whitty
112
Voted
PAM
2005
Springer
15 years 8 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
118
Voted
CAEPIA
2003
Springer
15 years 8 months ago
Enhancing Consistency Based Diagnosis with Machine Learning Techniques
This paper proposes a diagnosis architecture that integrates consistency based diagnosis with induced time series classifiers, trying to combine the advantages of both methods. Co...
Carlos J. Alonso, Juan José Rodrígue...
108
Voted
ROBOCUP
2001
Springer
96views Robotics» more  ROBOCUP 2001»
15 years 7 months ago
Strategy Learning for a Team in Adversary Environments
Team strategy acquisition is one of the most important issues of multiagent systems, especially in an adversary environment. RoboCup has been providing such an environment for AI a...
Yasutake Takahashi, Takashi Tamura, Minoru Asada