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» On Learning Decision Trees with Large Output Domains
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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 5 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
AAAI
1997
13 years 6 months ago
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft
1 We have constructed a team of intelligent agents that perform the tasks of an attack helicopter company for a synthetic battlefield environment used for running largescale milita...
Randall W. Hill Jr., Johnny Chen, Jonathan Gratch,...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
14 years 5 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye
BMCBI
2005
100views more  BMCBI 2005»
13 years 5 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley