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» Automated Learning of Rules Using Genetic Operators
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USS
2010
13 years 6 months ago
Toward Automated Detection of Logic Vulnerabilities in Web Applications
Web applications are the most common way to make services and data available on the Internet. Unfortunately, with the increase in the number and complexity of these applications, ...
Viktoria Felmetsger, Ludovico Cavedon, Christopher...
ISVC
2007
Springer
14 years 3 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
GAMEON
2000
13 years 10 months ago
RC++ A Rule Based Language for Game AI
"Game AI" is the high-level control code for computer entertainment applications. Games are diverse, and the nature of game AI reflects this diversity. However, game AI,...
Ian Wright, James A. R. Marshall
ILP
2005
Springer
14 years 2 months ago
Predicate Selection for Structural Decision Trees
Abstract. We study predicate selection functions (also known as splitting rules) for structural decision trees and propose two improvements to existing schemes. The first is in cl...
Kee Siong Ng, John W. Lloyd
NIPS
2001
13 years 10 months ago
Learning Spike-Based Correlations and Conditional Probabilities in Silicon
We have designed and fabricated a VLSI synapse that can learn a conditional probability or correlation between spike-based inputs and feedback signals. The synapse is low power, c...
Aaron P. Shon, David Hsu, Chris Diorio