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    ICSE
    2000
    IEEE-ACM
    91views Software Engineering» more  ICSE 2000»
    Quickly detecting relevant program invariants
    13 years 11 months ago
    Quickly detecting relevant program invariants
    Download  www.cs.washington.edu
    Explicitly stated program invariants can help programmers by characterizing certain aspects of program execution and identifying program properties that must be preserved when mod...
    Michael D. Ernst, Adam Czeisler, William G. Griswo...
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    IMC
    2007
    ACM
    139views Internet Technology» more  IMC 2007»
    A brief history of scanning
    13 years 9 months ago
    A brief history of scanning
    Download  www.icir.org
    Incessant scanning of hosts by attackers looking for vulnerable servers has become a fact of Internet life. In this paper we present an initial study of the scanning activity obse...
    Mark Allman, Vern Paxson, Jeff Terrell
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    BIOCOMP
    2008
    140views Bioinformatics» more  BIOCOMP 2008»
    Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
    13 years 9 months ago
    Analysis of Protein-Ligand Interactions Using Localized Stereochemical Features
    Download  faculty.cs.tamu.edu
    Computational analyses of protein structure-function relationships have traditionally been based on sequence homology, fold family analysis and 3D motifs/templates. Previous struct...
    Reetal Pai, James C. Sacchettini, Thomas R. Ioerge...
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    AAAI
    2000
    113views Intelligent Agents» more  AAAI 2000»
    STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
    13 years 9 months ago
    STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
    Download  www2.parc.com
    Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...
    Iván Ordóñez, Feng Zhao
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    IJCAI
    1989
    110views Artificial Intelligence» more  IJCAI 1989»
    Training Feedforward Neural Networks Using Genetic Algorithms
    13 years 8 months ago
    Training Feedforward Neural Networks Using Genetic Algorithms
    Download  dli.iiit.ac.in
    Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
    David J. Montana, Lawrence Davis
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