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    ICMLA
    2003
    169views Machine Learning» more  ICMLA 2003»
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    13 years 11 months ago
    Robust Support Vector Machines for Anomaly Detection in Computer Security
    Download  www.cs.ucdavis.edu
    — Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
    Wenjie Hu, Yihua Liao, V. Rao Vemuri
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    ICMLA
    2007
    94views Machine Learning» more  ICMLA 2007»
    Phase transition and heuristic search in relational learning
    13 years 11 months ago
    Phase transition and heuristic search in relational learning
    Download  www-lipn.univ-paris13.fr
    Several works have shown that the covering test in relational learning exhibits a phase transition in its covering probability. It is argued that this phase transition dooms every...
    Érick Alphonse, Aomar Osmani
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    ICMLA
    2007
    80views Machine Learning» more  ICMLA 2007»
    Memory-based context-sensitive spelling correction at web scale
    13 years 11 months ago
    Memory-based context-sensitive spelling correction at web scale
    Download  www.cs.cmu.edu
    We study the problem of correcting spelling mistakes in text using memory-based learning techniques and a very large database of token n-gram occurrences in web text as training d...
    Andrew Carlson, Ian Fette
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    ICMLA
    2007
    149views Machine Learning» more  ICMLA 2007»
    Uncertainty optimization for robust dynamic optical flow estimation
    13 years 11 months ago
    Uncertainty optimization for robust dynamic optical flow estimation
    Download  eprints.pascal-network.org
    We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
    Volker Willert, Marc Toussaint, Julian Eggert, Edg...
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    ICMLA
    2007
    194views Machine Learning» more  ICMLA 2007»
    Improving gene expression programming performance by using differential evolution
    13 years 11 months ago
    Improving gene expression programming performance by using differential evolution
    Download  www.cs.uic.edu
    Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
    Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
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