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    ACSAC
    1999
    IEEE
    159views Security Privacy» more  ACSAC 1999»
    An Application of Machine Learning to Network Intrusion Detection
    14 years 2 months ago
    An Application of Machine Learning to Network Intrusion Detection
    Download  www.acsac.org
    Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
    Chris Sinclair, Lyn Pierce, Sara Matzner
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    AAAI
    2010
    260views Intelligent Agents» more  AAAI 2010»
    Symmetry Detection in General Game Playing
    13 years 11 months ago
    Symmetry Detection in General Game Playing
    Download  www.general-game-playing.de
    We develop a method for detecting symmetries in arbitrary games and exploiting these symmetries when using tree search to play the game. Games in the General Game Playing domain a...
    Stephan Schiffel
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    IPCO
    2007
    140views Optimization» more  IPCO 2007»
    Cuts for Conic Mixed-Integer Programming
    13 years 11 months ago
    Cuts for Conic Mixed-Integer Programming
    Download  www.ieor.berkeley.edu
    A conic integer program is an integer programming problem with conic constraints. Conic integer programming has important applications in finance, engineering, statistical learnin...
    Alper Atamtürk, Vishnu Narayanan
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    SEBD
    1997
    158views Database» more  SEBD 1997»
    Indexing Metric Spaces with M-Tree
    13 years 11 months ago
    Indexing Metric Spaces with M-Tree
    Download  www-db.deis.unibo.it
    M-tree is a dynamic access method suitable to index generic “metric spaces”, where the function used to compute the distance between any two objects satisfies the positivity, ...
    Paolo Ciaccia, Marco Patella, Fausto Rabitti, Pave...
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    ICGA
    1993
    145views Optimization» more  ICGA 1993»
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    13 years 11 months ago
    Genetic Programming of Minimal Neural Nets Using Occam's Razor
    Download  bi.snu.ac.kr
    A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
    Byoung-Tak Zhang, Heinz Mühlenbein
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