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SIGIR
2002
ACM
13 years 7 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 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....
GECCO
2009
Springer
14 years 5 days ago
The sensitivity of HyperNEAT to different geometric representations of a problem
HyperNEAT, a generative encoding for evolving artificial neural networks (ANNs), has the unique and powerful ability to exploit the geometry of a problem (e.g., symmetries) by enc...
Jeff Clune, Charles Ofria, Robert T. Pennock
ICMLA
2008
13 years 9 months ago
Comparison with Parametric Optimization in Credit Card Fraud Detection
We apply five classification methods, Neural Nets(NN), Bayesian Nets(BN), Naive Bayes(NB), Artificial Immune Systems(AIS) [4] and Decision Trees(DT), to credit card fraud detectio...
Manoel Fernando Alonso Gadi, Xidi Wang, Alair Pere...
ATAL
2010
Springer
13 years 8 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...