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    PR
    2006
    127views more  PR 2006»
    Unsupervised possibilistic clustering
    13 years 8 months ago
    Unsupervised possibilistic clustering
    Download  www2.math.cycu.edu.tw
    In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
    Miin-Shen Yang, Kuo-Lung Wu
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    PRESENCE
    2006
    102views more  PRESENCE 2006»
    The Usability of Collaborative Virtual Environments and Methods for the Analysis of Interaction
    13 years 8 months ago
    The Usability of Collaborative Virtual Environments and Methods for the Analysis of Interaction
    Download  people.oii.ox.ac.uk
    This paper describes two methods for analyzing interactions in collaborative virtual environments (CVEs): one whereby quantitative data are captured, interaction is categorized in...
    Ralph Schroeder, Ilona Heldal, Jolanda G. Tromp
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    BMCBI
    2005
    162views more  BMCBI 2005»
    Accelerated probabilistic inference of RNA structure evolution
    13 years 8 months ago
    Accelerated probabilistic inference of RNA structure evolution
    Download  biowiki.org
    Background: Pairwise stochastic context-free grammars (Pair SCFGs) are powerful tools for evolutionary analysis of RNA, including simultaneous RNA sequence alignment and secondary...
    Ian Holmes
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    CCR
    2005
    97views more  CCR 2005»
    On the robustness of router-based denial-of-service (DoS) defense systems
    13 years 8 months ago
    On the robustness of router-based denial-of-service (DoS) defense systems
    Download  einstein.seas.upenn.edu
    This paper focuses on "router-based" defense mechanisms, and whether they can provide effective solutions to network Denialof-Service (DoS) attacks. Router-based defense...
    Ying Xu, Roch Guérin
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    CI
    2005
    106views more  CI 2005»
    Incremental Learning of Procedural Planning Knowledge in Challenging Environments
    13 years 8 months ago
    Incremental Learning of Procedural Planning Knowledge in Challenging Environments
    Download  www.sunnyhome.org
    Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
    Douglas J. Pearson, John E. Laird
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