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IJCAI
2007
13 years 10 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
13 years 6 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
HIS
2008
13 years 10 months ago
A GRASP Algorithm Using RNN for Solving Dynamics in a P2P Live Video Streaming Network
In this paper, we present an algorithm based on the GRASP metaheuristic for solving a dynamic assignment problem in a P2P network designed for sending real-time video over the Int...
Marcelo Martínez, Alexis Morón, Fran...
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder